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NVIDIA15 orgs · 417 people74% official▶

▶LPR — learning and perceptionJan Kautz13

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
GEAR (Generalist Embodied Agent Research)	Jim Fan (Linxi Fan) and Yuke Zhu	GR00T N1 (2025); Voyager (2024)	A
DAIR (Data-Driven AI for Robotics)	Umar Iqbal	GLAMR (2022); GENMO (2025)	A
RVP (Robotic Visual Perception Research)	Stan Birchfield	DOPE (2018); FoundationPose (2024)	A
DLER (Deep Learning Efficiency Research)	Pavlo Molchanov	Minitron (2024); Hymba (2024)	A
GenAIR (Fundamental Generative AI Research)	Arash Vahdat	NVAE (2020); LSGM (2021)	A
Multimodal / VLM group (no public name, no lab page)	Zhiding Yu	SegFormer (2021); Eagle 2 (2025)	B

Name	Title	Focus	Notable work	Links	Tier
Abhishek Badki	Senior Research Scientist	Low-level vision, 4D perception	L4P (2026); Zero-shot Monocular Scene Flow (2025); Binary TTC (2021)	org · site	A
De-An Huang	Research Scientist	Multimodal LLMs, embodied AI	Eagle 2.5 (2025); FRAG (2025)	site	D
Guilin Liu	Principal Research Scientist & Team Leader	Multimodal LLMs, VLMs	Partial Conv Inpainting (2018); Eagle 2 (2025); LocateAnything (2026)	site	D
Hang Su	Research Scientist	2D/3D representation learning	SPLATNet (2018); Zero-shot Monocular Scene Flow (2025); L4P (2026)	org · site	A
Jan Kautz	Vice President, Learning and Perception Research	Vision, learning, embodied AI	Precomputed Radiance Transfer (2002); PWC-Net (2018); GR00T N1 (2025)	org · site	A
Jim Fan (Linxi Fan)	Director of Robotics & Distinguished Research Scientist, GEAR co-l	Embodied foundation models	MineDojo (2022); Voyager (2024); Eureka (2024)	org · site	A
Jindong Jiang	Research Scientist	Multimodal LLMs, vision foundation models	STORM (2025); Slot State Space Models (2024); Object-Centric Slot Diffusion (2023)	org · site	A
Jinwei Gu	Principal Research Scientist & Senior Manager (now NVIDIA Cosmos L	Computational imaging, world models	NVIDIA Cosmos (2025); Spatial Propagation Networks (2017)	org · site	A
Shalini De Mello	Director of Research, New Experiences	Human-computer interaction, 4D worlds	EG3D (2022); GroupViT (2022); Few-Shot Adaptive Gaze Estimation (2019)	org	A
Shizhe Diao	Research Scientist	Data quality and data efficiency	Hymba (2024); ProRL (2025)	site	A
Sifei Liu	Principal Research Scientist & Tech Lead	Spatial reasoning, embodied foundation models	GroupViT (2022); SCOPS (2019); SpatialRGPT (2024)	org · site	A
Xin Dong	Research Scientist	On-device language models	Hymba (2024); Small Language Models are the Future of Agentic AI (2025)	—	A
Zhiding Yu	Principal Research Scientist & Research Lead	VLM/VLA, multimodal LLMs	SegFormer (2021); VoxFormer (2023); Eagle (2024)	org · site	A

▶DLER — deep learning efficiencyPavlo Molchanov11

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
Multimodal / VLM thrust (VILA, NVILA, VILA-HD, NaVILA, OmniVinci, Nemotron-Omni)	Hongxu (Danny) Yin	VILA (2024); NVILA (2025)	A
Efficient LLMs / compression & NAS (Minitron, Flextron, Nemotron-Elastic, Puzzle collaboration)	Saurav Muralidharan	Minitron (2024); Flextron (2024)	D
Vision foundation models (RADIO / AM-RADIO / RADIOv2.5 / FeatSharp / PHI-S)	Greg Heinrich	AM-RADIO (2024); RADIOv2.5 (2025)	D
Agentic-system reliability & efficiency (Small Language Models are the Future of Agentic AI, Minifinetuning)	Peter Belcak	Small Language Models are the Future of Agentic AI (2025)	D

Name	Title	Focus	Notable work	Links	Tier
Ali Hatamizadeh	LLM Tech Lead & Staff Research Scientist, NVIDIA Research	LLM architecture design, Gated DeltaNet	Gated DeltaNet (2025); FasterViT (2024); Global Context ViT (2023)	org · site	D
Greg Heinrich		Vision foundation and vision-language models	AM-RADIO (2024); FasterViT (2024)	org · site	A
Hanrong Ye	Research Scientist, NVIDIA Research	Omni-modal LLMs, OmniVinci, Nemotron-Omni	OmniVinci (2025); MM-Ego (2025); InvPT (2022)	org · site	A
Hongxu (Danny) Yin	Principal Research Scientist & Research Lead, NVIDIA Research	Multimodal LLMs, VILA family, post-training	VILA (2024); NVILA (2025); DeepInversion (2020)	org · site	A
Matthijs Van Keirsbilck	Senior Research Scientist, NVIDIA	Efficient architectures, sparsity, quantization	Hymba (2024); Rethinking Full Connectivity in RNNs (2019)	org · site	E
Pavlo Molchanov	Research Director / Director of Research, NVIDIA Research (team le	Efficiency of LLMs and multimodal models	Minitron (2024); Hymba (2024); FasterViT (2024)	org · site	A
Peter Belcak	Research Scientist, NVIDIA Research	Reliable, efficient agentic systems; SLMs	Small Language Models are the Future of Agentic AI (2025)	org · site	A
Saurav Muralidharan	Senior Research Scientist, NVIDIA Research	LLM pruning, distillation, NAS	Minitron (2024); Flextron (2024); MaskLLM (2024)	org · site	A
Wonmin Byeon		Sequence models, efficient architectures	GroupViT (2022); STORM (2025); Convolutional Tensor-Train LSTM (2020)	org	E
Yingyan (Celine) Lin	Visiting Professor at NVIDIA (Associate Professor, Georgia Institu	Efficient model/hardware co-design	EyeCoD (2022); Fusion-3D (2024); Omni-Recon (2024)	site	A
Yonggan Fu	Senior Research Scientist, NVIDIA Research	Efficient LM architectures, Hymba, Nemotron-Flash	Hymba (2024); Nemotron-Flash (2025); Omni-Recon (2024)	org · site	A

▶GenAIR — generative AIArash Vahdat9

Groups inside this org — leads are inferred unless tier A

Group	Flagship	Tier
Generative AI for Proteins and Molecules	Proteina (2025); La-Proteina (2026)	A
Generative AI for Weather	Elucidated Rolling Diffusion Models (2025); ATLAS (2026)	A
Compositionality and Control	ProtComposer (2025); DisCo-Diff (2024)	A
Fundamental Research	LSGM (2021); Denoising Diffusion GANs (2022)	A

Name	Title	Focus	Notable work	Links	Tier
Arash Vahdat	Research Director; GenAIR Team Lead	generative learning, diffusion, gen AI for science	NVAE (2020); LSGM (2021); Denoising Diffusion GANs (2022)	org · site	A
Chao Liu	Research Scientist	video generation, diffusion distillation	Live 3D Portrait (2023); BlobGEN-3D (2024)	org	A
Julius Berner	Research Scientist	probabilistic ML, sampling, neural PDE solvers		org · site	A
Karsten Kreis	Principal Research Scientist	diffusion models, generative AI for science	Align your Latents (2023); LION (2022); Proteina (2025)	org · site	A
Kieran Didi	Research Scientist	protein/binder generative design, ML for chemistry	Proteina (2025); Proteina-Complexa (2026)	org · site	A
Morteza Mardani	Principal Scientist (also Visiting Researcher, Stanford University	diffusion/flow models, weather and science AI	ATLAS (2026); Elucidated Rolling Diffusion Models (2025); Warped Diffusion (2024)	org · site	A
Tomas Geffner	Research Scientist	probabilistic ML, generative modeling, sampling	Proteina (2025); La-Proteina (2026); Compositional Score Modeling (2023)	org · site	A
Yongxin Chen	Research Scientist (also Associate Professor, Georgia Institute of	optimal transport, control, sampling, ML	DEIS (2023); gDDIM (2023); Path Integral Sampler (2022)	org · site	A
Zuobai Zhang	Research Scientist	protein foundation models, representation learning	Proteina (2025); Proteina-Complexa (2026)	org · site	A

▶DAIR — data-driven AI for roboticsUmar Iqbal13

Name	Title	Focus	Notable work	Links	Tier
Davis Rempe	Senior Research Scientist	human and humanoid motion, 3D perception	Trace and Pace (2023); Kimodo (2026)	site	A
Haotian Zhang	Senior Research Scientist	3D human motion perception and generation	Vid2Player (2021); Physically Simulated Tennis Skills (2023); GENMO (2025)	site	A
Jiefeng Li	Research Scientist	computer vision, human pose, generative AI	HybrIK (2021); Residual Log-likelihood Estimation (2021); BLADE (2025)	org · site	A
Jinhyung (David) Park	Research Scientist	3D scene understanding, human modeling	GRAIL (2026); SONIC (2026)	org · site	A
Kevin Xie	Research Scientist (concurrently PhD student, University of Toront	generative models, 3D vision, humanoid motion	VideoPanda (2025); OmniDreams (2026)	site	A
Mathis Petrovich	Research Scientist	text-to-3D human motion synthesis	ACTOR (2021); TEMOS (2022); TMR (2023)	site	A
Tianyi Xie	Research Scientist	computer graphics, generative AI, 3D vision	PhysGaussian (2024); GRAIL (2026); PhysAnimator (2025)	org · site	A
Umar Iqbal	Sr. Research Manager; DAIR Team Lead	robot learning from human data	GLAMR (2022); GAvatar (2024); GENMO (2025)	org · site	A
Xue Bin (Jason) Peng	Research Scientist at NVIDIA AND Assistant Professor, Simon Fraser	character animation, RL, robotics	DeepMimic (2018); AMP (2021); ASE (2022)	site	A
Xueting Li	Research Scientist	computer vision, 3D vision	GAvatar (2024); Dream-in-4D (2024); Pyramid Diffusion (2024)	org · site	A
Ye Yuan	Senior Research Scientist	3D vision, embodied AI, reinforcement learning	GLAMR (2022); PhysDiff (2023); SONIC (2026)	org · site	A
Yifeng Jiang	Research Scientist	character animation, physics simulation, humanoids	ProtoMotions3 (2025); MaskedManipulator (2025)	site	A
Yufei (Judy) Ye		3D vision, robotics, human motion	Affordance Diffusion (2023); MUSIC (2026)	org · site	A

▶RVP — robotic visual perceptionStan Birchfield6

Name	Title	Focus	Notable work	Links	Tier
Bowen Wen	Staff Research Scientist	3D visual perception for manipulation	FoundationPose (2024); FoundationStereo (2025); BundleSDF (2023)	org · site	D
Jeff Smith	Research Engineer	perception/robotics tooling and systems	HANDAL (2023)	org	E
Jonathan Tremblay	Research Scientist	synthetic data, pose estimation, robot vision	DOPE (2018); NViSII (2021); Falling Things (2018)	org · site	D
Stan Birchfield	Principal Research Scientist and Senior Research Manager; RVP Team	computer vision and robotics intersection	FoundationPose (2024); FoundationStereo (2025); BundleSDF (2023)	org · site	B
Stephen Tyree	Research Scientist	6-DoF pose estimation, benchmarks, robot vision	GA3C (2017); NViSII (2021); BundleSDF (2023)	org · site	D
Valts Blukis	Senior Research Scientist	language-grounded robot perception, 3D scenes	ProgPrompt (2023); RVT (2023); CuRobo (2023)	org · site	D

▶GEAR — generalist embodied agentsLinxi "Jim" Fan and Yuke Zhu (co-leads)30

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
World Model team (Project GR00T)	Joel Jang	DreamGen (2025); DreamDojo (2026)	A
GR00T VLA foundation model / post-training	(no named sub-lead found; Johan Bjorck is repeat first author, Scott Reed was founding senior scientist until 2026)	GR00T N1 (2025); GR00T N1.5 (2025)	D
Humanoid whole-body control / locomotion	(no named lead found)	SONIC (2026); HOVER (2025)	D
Foundation agents for games / virtual worlds	(no named lead found; Guanzhi Wang is the through-line)	MineDojo (2022); Voyager (2024)	D
Embodied reasoning / generalist planner	(no named lead found)	Vesta (2026)	D
Simulation & synthetic data infrastructure	(no named lead found)	HumanoidMimicGen (2026)	C

Name	Title	Focus	Notable work	Links	Tier
Avnish Narayan	(title not found)	robot learning, RL	GR00T N1 (2025)	org	D
Fengyuan Hu	Research Engineer	robot learning infrastructure, VLA training	GR00T N1 (2025); NitroGen (2026)	org	C
Fernando Castaneda	Research Scientist (UC Berkeley PhD in control)	humanoid control, sim-to-real	GR00T N1 (2025); SONIC (2026)	org	D
Guanzhi Wang	Research Scientist	robot foundation model post-training, gaming agents	Voyager (2024); MineDojo (2022); NitroGen (2026)	org · site	C
Jing Wang	(title not found)	VLA models, robot learning	GR00T N1 (2025); Vesta (2026)	org	D
Joel Jang	Senior Research Scientist; leads the GEAR world model team for Pro	video world models, robot learning	DreamGen (2025); LAPA (2025); DreamDojo (2026)	site	A
Johan Bjorck	Senior Research Scientist (per LinkedIn)	VLA foundation models, pretraining	GR00T N1 (2025); Vesta (2026)	org	D
Kaiyuan Zheng	(title not found)	video world models		—	E
Kaushil Kundalia	(title not found)	training infrastructure, VLA	GR00T N1 (2025)	—	D
Kevin Lin	Researcher (PhD UT Austin, advised by Yuke Zhu)	manipulation, data generation	GR00T N1 (2025); CP-Gen (2025)	site	C
Linxi "Jim" Fan	Co-lead of GEAR; Director of AI & Distinguished Scientist (per Lin	generalist embodied agents, foundation agents	MineDojo (2022); Voyager (2024); Eureka (2024)	org · site	A
Loic (Loic) Magne	(title not found)	gaming agents, multimodal models	NitroGen (2026); GR00T N1 (2025)	org	D
Mengda Xu	Research Scientist	robotic manipulation, human-to-robot transfer	DexUMI (2025); XSkill (2023); Flow as the Cross-Domain Manipulation Interface (2024)	org · site	C
Nikita Cherniadev	Senior Simulation Engineer	simulation infrastructure for embodied AI	GR00T N1 (2025); HumanoidMimicGen (2026)	org · site	C
Qi Wang	(title not found)	VLA training, robot data	GR00T N1 (2025)	—	D
Ruijie Zheng	(ambiguous - see evidence)	human-video pretraining, VLA scaling	GR00T N1 (2025)	org · site	C
Runyu Ding	(ambiguous - see evidence)	3D scene understanding, robot data	GR00T N1 (2025); HumanoidMimicGen (2026); Bunny-VisionPro (2024)	org · site	D
Scott Reed	FORMER - Principal Research Scientist and founding member of GEAR,	generalist agents, VLA models	GR00T N1 (2025)	org · site	B
Spencer Huang	(title not found)	robot learning, data pipelines	GR00T N1 (2025)	—	D
Xiaowei Jiang	(title not found)	robot learning systems		org	E
Xingye Da	(title not found; consistently NVIDIA-affiliated)	humanoid locomotion, whole-body control	GR00T N1 (2025); SONIC (2026)	—	D
Yinzhen Xu	Research Engineer (per LinkedIn)	VLA training, 3D vision	GR00T N1 (2025); NitroGen (2026)	org	D
You Liang Tan	Researcher / full-stack roboticist	imitation learning, robot systems	GR00T N1 (2025)	org · site	C
Yu Fang	(title not found)	simulation, graphics for robotics	GR00T N1 (2025); HumanoidMimicGen (2026)	org	D
Yuke Zhu	Co-lead of GEAR; Director and Distinguished Research Scientist, NV	robot learning, manipulation, embodied AI	MineDojo (2022); Eureka (2024); GR00T N1 (2025)	org · site	A
Yunze Man	Research Scientist	VLM post-training, embodied AI	Lexicon3D (2024); SceneCraft (2024); Vesta (2026)	org · site	C
Yuqi Xie	(ambiguous - see evidence)	robot manipulation, agents	GR00T N1 (2025); HARMON (2024)	org · site	C
Zhe Zhang	(title not found)	VLA training, evaluation		—	E
Zhengyi (Zen) Luo	Senior Research Scientist	humanoid motion, whole-body control	SONIC (2026); HOVER (2025); ASAP (2025)	org · site	C
Zhiqi Li	Research Scientist, NVIDIA Research (Singapore)	vision-language models, 3D perception	BEVFormer (2022); InternImage (2023); Eagle 2 (2025)	org · site	C

▶SIL — spatial intelligence (Toronto)Sanja Fidler46

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
World Simulation	Zian Wang and Jun Gao (world modeling); Jose M. Alvarez, Seung Wook Kim, Xiuming Zhang (AV agents); Xue Bin (Jason) Peng, Yifeng Jiang, Davis Rempe (humanoid agents)	GEN3C (2025); Cosmos-Drive-Dreams (2025)	A
Physics Simulation	Ken Museth	OpenVDB (2013); NanoVDB (2021)	A
4D Perception	Laura Leal-Taixe (with Aljosa Osep, Tim Meinhardt, Guillem Braso, Sergio Agostinho, Qunjie Zhou)	Better Call SAL (2024); Light3R-SfM (2025)	A
3D/4D Content Creation & Editing	Zan Gojcic (with Jun Gao, Or Litany, Jonathan Lorraine, Seung Wook Kim, Xuanchi Ren, Frank Shen, Masha Shugrina)	GET3D (2022); LATTE3D (2024)	A
Geometry Processing	Nicholas Sharp (with Mikaela Angelina Uy, Donglai Xiang, Sangeetha Grama Srinivasan, Tianchang Shen)	FlexiCubes (2023); SpaceMesh (2024)	A
Human Motion Modeling	Davis Rempe (with Xue Bin (Jason) Peng, Haotian Zhang, Yifeng Jiang, Mathis Petrovich)	ASE (2022); MaskedMimic (2024)	A
NuRec (Neural Reconstruction Engine)	Zan Gojcic, Kangxue Yin	3D Gaussian Ray Tracing (2024); 3DGUT (2025)	A
Spatial Data SDKs (ViPE, NCore)	Jiahui Huang (ViPE); Janick Martinez Esturo (NCore)	ViPE (2025)	A
Spatial AI SDKs (Kaolin, fVDB)	Clement Fuji Tsang and Masha Shugrina (Kaolin); Francis Williams (fVDB)	fVDB (2024)	A
Sparse Volume SDKs (OpenVDB, NanoVDB, fVDB)	Ken Museth, Francis Williams	OpenVDB (2013); NanoVDB (2021)	A
Creative and Applied AI Tools (CAAT)	Masha Shugrina	ATISS (2021); Simplicits (2024)	A
Autonomous Vehicle Applied Research (AVAR)	Jose M. Alvarez	SegFormer (2021); OmniDrive (2025)	A
High-Fidelity Physics Research Group (prl)	Ken Museth	OpenVDB (2013); NanoVDB (2021)	A
Dynamic Vision and Learning Group (dvl)	Laura Leal-Taixe	MOTChallenge (2015); TrackFormer (2022)	A

Name	Title	Focus	Notable work	Links	Tier
Amirmojtaba Sabour		3D generation, data curation	VideoPanda (2025)	—	A
Amlan Kar	Senior Research Scientist	data-centric AI, autolabeling	Meta-Sim (2019); Neural Turtle Graphics (2019); Meta-Sim2 (2020)	site	A
Anita Hu		3D deep learning	Painting with 3D Gaussian Splat Brushes (2025)	—	A
Clement Fuji Tsang	Senior Research Engineer (Kaolin)	Kaolin 3D deep learning library	ArtisanGS (2026)	—	A
Davis Rempe	Senior Research Scientist	human/humanoid motion generation	Trace and Pace (2023); GENMO (2025); Kimodo (2026)	site	A
Despoina Paschalidou	Senior Research Scientist	3D scene generation	Superquadrics Revisited (2019); Neural Parts (2021); ATISS (2021)	site	A
Donglai Xiang	Research Scientist	digital humans, clothed avatars	Monocular Total Capture (2019); Dressing Avatars (2022); PartField (2025)	site	A
Erwin Coumans		physics simulation, robotics		—	A
Haithem Turki	Senior Research Scientist	large-scale radiance fields	Mega-NeRF (2022); SUDS (2023); HybridNeRF (2024)	org · site	A
Haotian Zhang	Senior Research Scientist	human motion, humanoid control	Vid2Player (2021); Learning Physically Simulated Tennis Skills (2023); GENMO (2025)	org · site	A
Hassan Abu Alhaija	Machine Learning Researcher / Research Engineer	synthetic media, generative 3D	Enhancing Photorealism Enhancement (2023); Augmented Reality Meets Computer Vision (2018)	site	A
Janick Martinez Esturo	Senior Research Engineer (Munich)	NCore multi-sensor data platform	3D Gaussian Ray Tracing (2024); 3DGUT (2025)	site	A
Jiahui Huang	Senior Research Scientist	3D scene reconstruction, ViPE	Neural Kernel Surface Reconstruction (2023); XCube (2024); ViPE (2025)	site	A
Jialiang Wang		3D vision, depth estimation	Emu (2023); Movie Gen (2024)	org · site	A
Jiawei Ren	Research Scientist	4D generation, dynamic scenes	DreamGaussian (2024); L4GM (2024); BTimer (2025)	site	A
Jonathan Lorraine	Research Scientist	fast text-to-3D, LATTE3D	ATT3D (2023); LATTE3D (2024)	site	A
Jun Gao	Research Scientist	3D generative models, GET3D	DMTet (2021); GET3D (2022); FlexiCubes (2023)	site	A
Kangxue Yin	Senior Research Scientist	neural reconstruction, 3D generation	DMTet (2021); 3DStyleNet (2021); GET3D (2022)	site	A
Katarina Tothova		3D vision	DiffusionHarmonizer (2026)	—	A
Kevin Xie	Research Scientist	generative world models, OmniDreams	ATT3D (2023); LATTE3D (2024); VideoPanda (2025)	site	A
Masha Shugrina	Researcher / group lead, Creative and Applied AI Tools (CAAT)	creative AI tools, Kaolin	ATISS (2021); Painting with 3D Gaussian Splat Brushes (2025)	site	A
Matan Atzmon	Research Scientist	neural implicit shape representations	SAL (2020); Implicit Geometric Regularization (2020); Frame Averaging (2022)	site	A
Mathis Petrovich	Research Scientist (Zurich)	text-to-3D human motion	ACTOR (2021); TEMOS (2022); TMR (2023)	site	A
Michal Tyszkiewicz		3D vision, feature matching	TokenGS (2026)	site	A
Mikaela Angelina Uy	Research Scientist	3D shape analysis, reconstruction	ScanObjectNN (2019); Point2Cyl (2022); PartField (2025)	site	A
Nicholas Sharp	Senior Research Scientist (Seattle)	GPU geometry processing	DiffusionNet (2022); FlexiCubes (2023); Adaptive Shells (2023)	site	A
Or Litany	Senior Research Scientist	3D vision, generative AI	VoteNet (2019); PointContrast (2020); LION (2022)	site	A
Or Perel	Researcher	neural 3D representations	3D Gaussian Ray Tracing (2024); Simplicits (2024); Painting with 3D Gaussian Splat Brushes (2025)	site	A
Qi Wu	Senior Research Scientist	large-scale neural rendering	3DGUT (2025); SimULi (2026)	site	A
Riccardo de Lutio	Senior Research Scientist	3D vision, neural reconstruction	Guided Super-Resolution (2019); 3D Gaussian Ray Tracing (2024); OmniRe (2025)	site	A
Ruilong Li	Research Scientist	radiance fields, 3D reconstruction	AIST++ (2021); Nerfstudio (2023); gsplat (2025)	site	A
Sangeetha Grama Srinivasan		differentiable simulation, digital humans	Learning Active Quasistatic Physics-Based Models (2021); Deep 3D Simulation Super-Resolution (2024)	site	A
Sanja Fidler	VP of AI Research, NVIDIA; Associate Professor, University of Toro	lab lead; spatial intelligence	GET3D (2022); Meta-Sim (2019); MovieQA (2016)	site	A
Seung Wook Kim	Research Scientist	world models, generative simulation	NeuralField-LDM (2023); L4GM (2024)	site	A
Tianchang (Frank) Shen	Research Scientist	mesh extraction, FlexiCubes	DMTet (2021); FlexiCubes (2023); Adaptive Shells (2023)	site	A
Tianshi Cao		3D generative modeling	TexFusion (2023); LATTE3D (2024)	—	A
Vismay Modi		physics-based simulation, geometry	EMU (2021); Simplicits (2024)	site	A
Xinglong (Alex) Sun	AI Researcher (San Jose)	AV perception, efficient models	Multi-Dimensional Pruning (2024); AllTracker (2025)	site	A
Xiuming Zhang	Principal Research Scientist	world models, RL, vision	MoSculp (2018); NeRFactor (2021); DiffusionRig (2023)	site	A
Xuanchi Ren	Senior Research Scientist	3D-aware video generation, GEN3C	XCube (2024); GEN3C (2025); Lyra (2026)	site	A
Xue Bin (Jason) Peng	Research Scientist; Assistant Professor, Simon Fraser University	physics-based humanoid control	DeepMimic (2018); AMP (2021); ASE (2022)	site	A
Yifan Lu	Researcher	AV data curation, simulation	InfiniCube (2025); Cosmos-Drive-Dreams (2025); ChronoEdit (2026)	site	A
Yifeng Jiang	Research Scientist	physics-based character control	Transformer Inertial Poser (2022); DROP (2023); ProtoMotions3 (2025)	site	A
Zan Gojcic	Director of Research (Zurich)	neural reconstruction, world sim	PREDATOR (2021); 3D Gaussian Ray Tracing (2024); 3DGUT (2025)	site	A
Zhangjie Wu	Senior Research Scientist	video diffusion, world models	Tune-A-Video (2023); Show-1 (2024); Difix3D+ (2025)	site	A
Zian Wang	Senior Research Scientist and Research Manager	inverse rendering, world models	FEGR (2023); Adaptive Shells (2023); DiffusionRenderer (2025)	site	A

▶PRL — high-fidelity physicsKen Museth17

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Physics Simulation (its role inside SIL)	Ken Museth		Monte Carlo Geometry Processing (2020); Walk on Stars (2023)		A
Sparse Volume SDKs (OpenVDB, NanoVDB, fVDB)	Ken Museth, Francis Williams		OpenVDB (2013); NanoVDB (2021)		A

Name	Title	Focus	Notable work	Links	Tier
Andre Pradhana	Research Scientist	MPM, differentiable simulation, OpenVDB	Drucker-Prager Sand Animation (2016); Multi-Species Sand and Water Mixtures (2017); GPU Optimization of Material Point Methods (2018)	org · site	A
Andrew Reidmeyer	Engineer	sparse voxel sim, PNanoVDB, NVIDIA Flow		org	A
Christopher Horvath	Research Scientist / simulation	fluid and water simulation		org	A
David I.W. Levin	Principal Research Scientist, NVIDIA; Associate Professor, Univers	numerical simulation, Simplicits	Simplicits (2024); Neurally Integrated Finite Elements (2025)	org · site	A
Denis Zorin	Visiting Faculty; Silver Professor of CS and Mathematics, NYU Cour	geometric modeling, scientific computing	Interactive Multiresolution Mesh Editing (1997); TetWild (2018); Incremental Potential Contact (2020)	org · site	A
Ed Quigley	Engineer	physically-based simulation for VFX	Codimensional Surface Tension Flow (2014); Real-Time Interactive Tree Animation (2017)	org · site	A
Eftychios Sifakis	Professor of Computer Sciences, University of Wisconsin-Madison (N	FEM, digital humans, solvers	Efficient Elasticity for Character Skinning (2011); SPGrid (2014); FEM Simulation of 3D Deformable Solids (2015)	org · site	A
Francis Williams	Senior Research Scientist (NYC)	fVDB, sparse 3D deep learning	Neural Kernel Surface Reconstruction (2023); XCube (2024); fVDB (2024)	org · site	A
Gergely (Greg) Klár	Research Scientist	MPM, ML for animation	Drucker-Prager Sand Animation (2016); Shape Targeting (2020); fVDB (2024)	org · site	A
Gilles Daviet	Research Scientist	hair/granular sim, differentiable solvers, Warp	Semi-Implicit MPM for Granular Materials (2016); Simple and Scalable Frictional Contacts (2020); Loki (2022)	org · site	A
Jonathan Leaf	Research Scientist	cloth simulation, differentiable physics	Interactive Design of Periodic Yarn-Level Cloth Patterns (2018); Weavecraft (2020)	org · site	A
Jonathan Swartz	Engineer (ML + simulation)	ML/simulation intersection, OpenVDB	fVDB (2024); Deep 3D Simulation Super-Resolution (2024)	org · site	A
Ken Museth	Team Leader; Sr. Director, High-Fidelity Physics Research	OpenVDB/NanoVDB, sparse volumes	VDB (2013); OpenVDB (2013); NanoVDB (2021)	org · site	A
Mark Harris	Distinguished Engineer	GPU-accelerated simulation, CUDA	GPGPU Survey (2007); Optimizing Parallel Reduction in CUDA (2007); Parallel Prefix Sum (Scan) with CUDA (2007)	org · site	A
Matthew Cong	Senior Research Scientist	facial animation, muscle/flesh simulation	Fully Automatic Anatomical Face Simulation Models (2015); Art-Directed Muscle Simulation (2016); fVDB (2024)	org · site	A
Petra Hapalova	Engineer	Omniverse Flow, point cloud tooling		org	A
Rohan Sawhney	Senior Research Scientist	Monte Carlo geometry processing, PDEs	Boundary First Flattening (2018); Monte Carlo Geometry Processing (2020); Walk on Stars (2023)	org · site	A

▶DVL — dynamic vision and learningLaura Leal-Taixé12

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
4D Perception (its role inside SIL)	Laura Leal-Taixé		MOTChallenge (2015); TrackFormer (2022)		A

Name	Title	Focus	Notable work	Links	Tier
Alessandro Burzio	PhD Student (joint, Università di Modena e Reggio Emilia)	4D dynamic scene reconstruction	Déjà View (2026)	org	A
Aljosa Osep	Senior Research Scientist	open-world 4D scene understanding	4D Generic Video Object Proposals (2020); Opening up Open-World Tracking (2022); Better Call SAL (2024)	org · site	A
Benjamin Missaoui	PhD Student	video understanding, object tracking	SAMCLR (2023)	org · site	A
Cristiano Saltori	Research Scientist	LiDAR domain adaptation, 3D perception	SF-UDA3D (2020); CoSMix (2022); GIPSO (2022)	org · site	A
Guillem Brasó	Research Scientist	graph-based multi-object tracking	Learning a Neural Solver for Multi-Object Tracking (2020); MOTSynth (2021); PolarMOT (2022)	org · site	A
Laura Leal-Taixé	Team Leader; Senior Research Manager, NVIDIA; Adjunct Professor, T	dynamic scene understanding, tracking	MOTChallenge (2015); HOTA (2020); TrackFormer (2022)	org · site	A
Qunjie Zhou	Research Scientist	visual localization, feature matching	Patch2Pix (2021); ViPE (2025)	org · site	A
Rodrigo Marcuzzi	Postdoctoral Researcher	LiDAR panoptic segmentation	Mask-Based Panoptic LiDAR Segmentation (2023); Mask4D (2023)	org · site	A
Shengyu Huang	Research Scientist	LiDAR/3D scene flow, reconstruction	PREDATOR (2021); Neural LiDAR Fields (2023)	org · site	A
Sven Elflein	PhD Student (joint, University of Toronto)	3D computer vision, feed-forward SfM	MG-GAN (2021); VGG-T3 (2026)	org · site	A
Sérgio Agostinho	Senior Research Engineer	pose estimation, geometric deep learning	VGG-T3 (2026)	org · site	A
Tim Meinhardt	Research Scientist	multi-object tracking, video segmentation	TrackFormer (2022); Better Call SAL (2024)	org · site	A

▶AVAR — applied AV researchJose M. Alvarez8

Name	Title	Focus	Notable work	Links	Tier
Alex (Xinglong) Sun		efficient perception models	Multi-Dimensional Pruning (2024); AllTracker (2025)	site	A
Jenny Schmalfuss		robustness, optical flow	Spring (2023); Distracting Downpour (2023); RobustSpring (2026)	site	A
Jose M. Alvarez	Director of AV Applied Research	AV perception, efficient models, data	SegFormer (2021); OmniDrive (2025); GTRS (2025)	site	A
Joshua Chen		AV perception	GTRS (2025)	site	A
Maying Shen		model efficiency, pruning	Hardware-Aware Latency Pruning (2023)	site	A
Nadine Chang		long-tail perception, data-centric AV	DriveCritic (2026); GHOST (2026)	site	A
Rafid Mahmood		data acquisition, optimization for AV	Optimizing Data Collection for Machine Learning (2025); AutoScale (2025)	site	A
Shiyi Lan		3D detection, BEV perception	FastMask (2017); SaccadeNet (2020); DiscoBox (2021)	site	A

▶Cosmos labMing-Yu Liu45

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
Generator (world/video generation)	Yogesh Balaji (research manager), Ting-Chun Wang (principal RS)	Cosmos-Predict1 (2025); Cosmos-Predict2.5 (2025)	C
Reasoner (Cosmos-Reason VLM)	Tsung-Yi Lin	Cosmos-Reason1 (2025); Cosmos-Reason2 (2026)	E
3D, camera and geometry	Chen-Hsuan Lin	Neuralangelo (2023); Magic3D (2023)	E
World models for Physical AI (policy / robotics transfer)	Jinwei Gu	Cosmos (2025); Cosmos 3 (2026)	E
Transfer / controllable generation	Trung Pham	Cosmos-Transfer1 (2025); Cosmos-Transfer2.5 (2025)	E
Data curation, embeddings and infrastructure	Francesco Ferroni (with Jing Zhang on training/serving infra)		E
Audio / omnimodal	Siddharth Gururani	Cosmos 3 (2026)	E

Name	Title	Focus	Notable work	Links	Tier
Akash Gokul	Research Scientist	Generator SFT data		org	C
Alice Luo	Research Scientist	Data pipeline, synthetic data		org	B
Andrew Z. Wang	Research Scientist	Captioning, prompt upsampling		org	B
Chen-Hsuan Lin	Research Scientist & Manager	3D reconstruction, neural rendering	Neuralangelo (2023); Magic3D (2023); BARF (2021)	org · site	A
Chia-Wen Kuo	Research Scientist	Multimodal pretraining data		org	C
David W. Romero	Research Scientist	Efficient generative models	Meshtron (2024)	—	B
Fitsum Reda	Principal Scientist	Video tokenization, generative models	FILM (2022); TryOnDiffusion (2023); SDC-Net (2018)	site	B
Francesco Ferroni	Principal Researcher	Video-text embeddings, data pipeline		org · site	B
Hamid Eghbalzadeh	Research Scientist	Prompt upsampling, evaluation		org	C
Haotian Zhang	Senior Research Scientist	Vision-language grounding		org	A
Imad El Hanafi	Research Scientist	Large-scale training/inference systems		org	B
Jacob Huffman	Research Scientist	Data infrastructure		org	B
Jiaojiao Fan	Research Scientist	Controllable video generation	RefDrop (2024); Edify Image (2024)	org · site	A
Jiashu Xu	Research Scientist	Video captioning, data		org	B
Jiaxiang Tang	Research Scientist	3D reconstruction and generation	DreamGaussian (2024); LGM (2024); PartPacker (2025)	org · site	A
Jing Zhang	Research Scientist / Engineering lead	Training and data infrastructure	Cosmos (2025)	org	B
Jinwei Gu	Principal Research Scientist & Senior Manager	World models for Physical AI	Cosmos (2025); Cosmos 3 (2026); Cosmos Policy (2026)	org · site	A
Kuno Kim	Research Scientist	Reasoner pretraining, data		org	C
Mengyao Xu	Research Scientist	Captioning, data curation	NV-Embed (2024)	org	C
Ming-Yu Liu	Vice President of Research; leads Cosmos Lab	World foundation models, generative AI	GauGAN/SPADE (2019); Video-to-Video Synthesis (2018); Cosmos (2025)	org · site	A
Prithvijit Chattopadhyay	Research Scientist	Synthetic data, robust vision	Cosmos-Predict2.5 (2025); SkyScenes (2024); LANCE (2023)	org · site	A
Qianli Ma	Senior Research Scientist & Tech Lead	World model pretraining, distillation	CAPE (2020); SCALE (2021); POP (2021)	org · site	A
Qinsheng Zhang	Senior Research Scientist	Diffusion sampling, distillation	DEIS (2023); Cosmos (2025)	site	A
Sameer Dharur	Research Scientist	VLMs that reason about the world		org	A
Sergei Vasilev	Engineer / Research	Data infrastructure		org	C
Seungjun Nah	Senior Research Scientist	Image/video generation quality	eDiff-I (2022); REDS dataset (2019)	org · site	A
Siddharth Gururani	Senior Research Scientist	Audio-visual generative models	Cosmos 3 (2026); SPACE (2023); Fugatto (2025)	org · site	A
Stella Shi	Research Scientist	Image/video data curation		org	B
Ting-Chun Wang	Principal Research Scientist	Video and image synthesis	pix2pixHD (2018); Video-to-Video Synthesis (2018); GauGAN/SPADE (2019)	org · site	A
Trung Pham	Principal Research Scientist	Controllable world generation	NVAutoNet (2024); Cosmos 3 (2026)	site	A
Tsung-Yi Lin	Principal Research Scientist	Physical-AI reasoning VLMs	COCO (2014); Focal Loss (2017); Feature Pyramid Networks (2017)	org · site	B
Xiaodong Yang	Principal Research Scientist	Driving world models, action data	MoCoGAN (2018); STEP (2019)	org	B
Xiaohui Zeng	Research Scientist	VLM/LLM, multimodal generation	LION (2022); Magic3D (2023)	site	A
Xin Kong	Research Scientist	Foundation models for robotics	EscherNet (2024); vMAP (2023)	org · site	A
Xingqian Xu	Research Scientist	Image generation, post-training		org	C
Xuan Li	Research Scientist	Physics-based 3D generation	PAC-NeRF (2023); PhysGaussian (2024)	org · site	A
Yatian Pang	Research Scientist	Data curation, serving		org	C
Yifan Ding	Research Scientist	Data curation, evaluation		org	B
Yin Cui	Research Scientist	Multimodal data, generative AI	Class-Balanced Loss (2019); iNaturalist Dataset (2018); Simple Copy-Paste (2021)	org · site	B
Yogesh Balaji	Staff Research Scientist & Research Manager	Large-scale generative pretraining	eDiff-I (2022); Cosmos (2025)	org · site	A
Yu Wang	Research Scientist	Grounding, reasoning evaluation		org	C
Yu-Wei Chao	Research Scientist	Robot action data and policies		org	C
Zekun Hao	Research Scientist	3D generative models, VLMs	GANcraft (2021); Meshtron (2024); DualSDF (2020)	org · site	A
Zhaoshuo (Max) Li	Research Scientist	3D understanding, robot policies	Neuralangelo (2023)	org · site	B
Zhiqi Li	Research Scientist	Grounding, robot perception	BEVFormer (2022); InternImage (2023); Eagle 2 (2025)	org · site	C

▶ADLR / NemotronBryan Catanzaro67

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
Natural Language Processing / Foundation Models (Nemotron, Megatron-LM data+modeling)	Mohammad Shoeybi (NLP team manager) with Mostofa Patwary (Director, Large Foundational Language Model)	Megatron-LM (2019); Megatron-Turing NLG 530B (2022)	A
Computer Vision & Graphics (DLSS, VLM)	Andrew Tao	pix2pixHD (2018); Partial Convolution Inpainting (2018)	A
Speech & Audio (ADLR-Audio: WaveGlow/RAD-TTS/BigVGAN/Audio Flamingo line)	Rafael Valle led/represented it through ~2025 and has since LEFT NVIDIA; Wei Ping is now the named project lead on the audio-LLM work (UALM), with Zhifeng Kong and Sang-gil Lee as the senior ICs	WaveGlow (2019); BigVGAN (2023)	A
Alignment / Post-training	Jonathan Raiman	ChatQA (2024); NV-Embed (2024)	A
Chip Design (AI for EDA: PrefixRL, CircuitVAE, ChipNeMo collaboration, Nemotron-CORTEXA)	Rajarshi Roy / Jialin Song (with Jonathan Raiman)	PrefixRL (2021); ChipNeMo (2023)	A
Systems for Deep Learning (Megatron-LM training/inference systems)	no single named manager found; Jared Casper, Deepak Narayanan, Vijay Korthikanti and Patrick LeGresley are the bio-confirmed ADLR systems researchers	Megatron-LM (2019); Megatron-LM on GPU Clusters (2021)	A

Name	Title	Focus	Notable work	Links	Tier
Abhinav Khattar	Research Scientist	LLM alignment, MoE		—	C
Adrian Lancucki	Research Scientist (NVIDIA Warsaw)	TTS alignment, model efficiency	RAD-TTS (2021); One TTS Alignment to Rule Them All (2022)	—	C
Ali Hatamizadeh	Staff Research Scientist, NVIDIA Research	LLM reasoning, RL pretraining	Gated DeltaNet (2025); RLP (2025)	org · site	C
Ambrish Dantrey	Engineer/Research Scientist	Speech denoising	CleanUNet 2 (2023); OmniVinci (2025)	—	C
Andrew Tao	Distinguished Engineer; manager, Computer Vision team (ADLR)	Vision, DLSS, VLM	pix2pixHD (2018); Partial Convolution Inpainting (2018); Hierarchical Multi-Scale Attention (2020)	site	A
Arushi Goel	Research Scientist	Audio-language models	Audio Flamingo 3 (2025); OMCAT (2024)	—	B
Atefeh Sohrabizadeh	Research Scientist	SWE agents, HW-design ML		—	C
Boxin Wang	Research Scientist (ADLR)	Post-training, RL, VLM	DecodingTrust (2023); InstructRetro (2024); NVLM (2024)	site	B
Brandon Norick	Research Scientist (ADLR)	Pretraining data, model architecture	Megatron-Turing NLG 530B (2022); An Empirical Study of Mamba-based Language Models (2024)	—	B
Bryan Catanzaro	Vice President, Applied Deep Learning Research	Applied DL across NVIDIA; Nemotron	Megatron-LM (2019); cuDNN (2014); Deep Speech 2 (2016)	site	A
Chankyu Lee	Research Scientist, ADLR	Retrieval, RAG, post-training	NV-Embed (2024); Nemotron-Cascade (2025)	—	A
Chao-Han Huck Yang	Senior Research Scientist, NVIDIA Research	Speech-language modeling, alignment	HyPoradise (2023); Whispering-LLaMA (2023)	org · site	C
Dan Su	Research Scientist (ADLR foundation models)	Pretraining data curation		—	B
David Tarjan	Principal Research Scientist (Deep Learning), ADLR	DLSS SR/FG/RR performance lead	SDC-Net (2018)	—	A
Deepak Narayanan	Senior Applied Deep Learning Research Scientist, ADLR	LLM training/inference efficiency	PipeDream (2019); Megatron-LM on GPU Clusters (2021); DAWNBench (2017)	site	A
Duncan Riach	Deep Learning Engineer	Determinism, model architecture	An Empirical Study of Mamba-based Language Models (2024)	—	C
Fitsum Reda	Principal Research Scientist, Deep Imagination Research (DIR) - fo	Generative video/vision	FILM (2022); TryOnDiffusion (2023); SDC-Net (2018)	—	A
Guilin Liu	Senior Research Scientist	Vision, partial convolutions	Partial Convolution Inpainting (2018); Video-to-Video Synthesis (2018); Eagle (2025)	site	B
Helen Ngo	Research Scientist/Engineer	LLM inference		—	C
Jaehyeon Kim	Research Scientist	TTS, audio LLMs	Audio Flamingo 3 (2025)	site	B
Jared Casper	Senior Deep Learning Scientist, ADLR	Megatron-LM training systems	Megatron-LM (2019); Megatron-LM on GPU Clusters (2021)	—	A
Jialin Song	Senior Research Scientist, ADLR	ML for hardware design, code LLMs		—	A
Joao Felipe Santos	Research Scientist	Audio restoration, TTS	RAD-MMM (2023); Fugatto (2025)	site	B
John Kamalu	Research Scientist (ADLR foundation models)	Pretraining data, FP8 recipe		—	B
Jon Barker	Senior Research Scientist, ADLR	Multimodal, applied DL	NVLM (2024); SDC-Net (2018)	—	A
Jonathan Raiman	Senior Research Scientist, ADLR; leads ADLR Alignment team	RL, alignment, AI for systems	NV-Embed (2024); Deep Voice 2 (2017)	—	A
Joseph Jennings	Deep Learning Algorithm Engineer	Pretraining data curation		—	B
Jupinder Parmar	Research Scientist (ADLR)	Pretraining data, continued pretraining		site	B
Karan Sapra	Senior Research Scientist, ADLR	Vision, segmentation, VLM data	Hierarchical Multi-Scale Attention (2020); Video Propagation and Label Relaxation (2019)	site	A
Keshav Santhanam	Research Scientist/Engineer	LLM inference	Heterogeneity-Aware Cluster Scheduling (2020)	—	C
Kevin J. Shih	Research Scientist	TTS alignment, RAD-TTS	RAD-TTS (2021); Flowtron (2020)	—	B
Kezhi Kong	Research Scientist, ADLR Foundation Model team	Pretraining data quality/scale	OpenTab (2024); GOAT (2023); VQ-GNN (2021)	site	A
Lawrence McAfee	Deep Learning Engineer/Scientist	Megatron-Core, retrieval	Reducing Activation Recomputation (2023); InstructRetro (2024)	—	C
Markus Kliegl	Research Scientist (ADLR)	Pretraining data		—	B
Matvei Novikov	Research Scientist	Reasoning data curation		—	C
Mike Chrzanowski	Deep Learning Scientist	FP8 training recipes	Deep Voice (2017)	—	C
Mike Ranzinger	Research Scientist	Vision foundation models (RADIO)	RADIOv2.5 (2025)	—	C
Mohammad Shoeybi	Senior Director, Applied Research (manages the NLP team within ADL	LLM pretraining, Megatron-LM	Megatron-LM (2019); Megatron-Turing NLG 530B (2022)	site	A
Mostofa Patwary	Director, Large Foundational Language Model (ADLR)	LLM pretraining data + scaling	Megatron-LM (2019); Megatron-Turing NLG 530B (2022); Nemotron-4 340B (2024)	site	A
Nayeon Lee	Research Scientist (ADLR)	Post-training, VLM alignment	Factuality Enhanced Language Models (2022); NVLM (2024)	—	B
Patrick LeGresley	Researcher, NLP group within ADLR	Large-model training systems	Megatron-LM (2019); Megatron-Turing NLG 530B (2022)	—	A
Peng Xu	Research Scientist (ADLR)	Long context, RAG	ChatQA 2 (2024); Retrieval Meets Long Context LLMs (2024)	—	C
Peter Dykas	Deep Learning Scientist	FP8 / low-precision pretraining		—	C
Rafael Valle	FORMER: Senior Research Scientist and Manager, ADLR-Audio (has sin	Audio/speech generative models	WaveGlow (2019); Flowtron (2020); Fugatto (2025)	site	A
Rajarshi Roy	Senior Research Scientist, ADLR	RL for chip design/architecture	NV-Embed (2024); ChatQA (2024)	—	A
Robert Kirby	Research Scientist	AI for chip design, speech	SDC-Net (2018)	—	B
Roger Waleffe	Applied Deep Learning Research Scientist	Hybrid Mamba-Transformer architecture	An Empirical Study of Mamba-based Language Models (2024)	—	A
Rohan Badlani	Research Scientist	Multilingual TTS	One TTS Alignment to Rule Them All (2022); RAD-MMM (2023)	—	B
Ryan Prenger	Research Scientist	Neural vocoders (WaveGlow)	WaveGlow (2019); Flowtron (2020)	—	B
Sang-gil Lee	Research Scientist, ADLR	Speech/audio generative models	BigVGAN (2023); UALM (2026)	site	A
Sanjeev Satheesh	Research Scientist (ADLR foundation models)	Pretraining data, evaluation		—	B
Sheng-Chieh Lin	Research Scientist (ADLR)	Retrieval, post-training	Nemotron-Cascade (2025)	—	C
Shrimai Prabhumoye	Senior Research Scientist, ADLR (also Adjunct Prof., Boston Univer	LLM data, reasoning, safety	RLP (2025); Nemotron-CrossThink (2025)	site	A
Siddharth Gururani	Research Scientist	Expressive speech synthesis	SPACE (2023); Fugatto (2025); Cosmos 3 (2026)	org · site	C
Sungwon Kim	Research Scientist	Zero-shot TTS, flow matching	P-Flow (2023); ETTA (2025)	—	B
Syeda Nahida Akter	Research Scientist (ADLR)	Reasoning data, RL pretraining	Nemotron-CrossThink (2025); RLP (2025)	—	B
Teodor-Dumitru Ene	Research Scientist	AI for chip design		—	C
Tuomas Rintamaki	Research Scientist	Vision-language models	NVLM (2024)	—	C
Vijay Korthikanti	Senior Research Scientist, ADLR	Scalable training, sequence parallelism	Reducing Activation Recomputation (2023); Megatron-LM on GPU Clusters (2021)	—	A
Wei Ping	Distinguished Research Scientist & Director	LLM post-training, reasoning, multimodality	Deep Voice 3 (2018); DiffWave (2021); ChatQA (2024)	site	A
Wenliang Dai	Research Scientist (ADLR)	Multimodal LLMs	InstructBLIP (2023); NVLM (2024); Nemotron-Cascade (2025)	site	B
Yang Chen	Research Scientist (ADLR)	Math reasoning, RL	AceReason-Nemotron (2025); AceMath (2025)	—	B
Yejin Choi	Senior Director / Distinguished Scientist, NVIDIA (also Professor,	Reasoning, synthetic data	ATOMIC (2019); COMET (2019); HellaSwag (2019)	site	C
Ying Lin	Research Scientist (ADLR foundation models)	Pretraining data, multilingual		site	B
Zhifeng Kong	Senior Research Scientist	Audio foundation models	DiffWave (2021); Audio Flamingo (2024); CleanUNet 2 (2023)	site	A
Zhuolin Yang	Research Scientist (ADLR)	Post-training, cascade RL	Nemotron-Cascade (2025); NVLM (2024)	—	B
Zihan Liu	Senior Research Scientist, ADLR	Math reasoning, post-training, RAG	ChatQA (2024); AceReason-Nemotron (2025); AceMath (2025)	site	A

▶EAI — efficient AISong Han9

Name	Title	Focus	Notable work	Links	Tier
Enze Xie		diffusion, efficient architectures	SegFormer (2021); PVT (2021); SANA (2025)	site	A
Han Cai		efficient architectures, NAS	ProxylessNAS (2019); Once-for-All (2020); EfficientViT (2023)	org · site	A
Ligeng Zhu		efficient training, VILA	Deep Leakage from Gradients (2019); PockEngine (2023); NVILA (2025)	site	A
Song Han	Research Director; leads Efficient AI, co-leads NVIDIA Singapore L	efficient AI computing	Deep Compression (2016); AWQ (2024); SmoothQuant (2023)	org · site	A
Yao (Jason) Lu		efficient AI, VLM	VILA (2024); NVILA (2025)	—	A
Yujun Lin		quantization, efficient inference	SVDQuant (2025); QServe (2025); TorchSparse (2022)	site	A
Yukang Chen		long-context, efficient LLM	LongLoRA (2024); LongVILA (2025); VoxelNeXt (2023)	site	A
Yuyang Zhao		3D and video generation	Animate124 (2024); GenXD (2025); SANA-Video (2026)	site	A
Zhijian Liu		efficient 3D and multimodal	NVILA (2025)	site	A

▶AV researchMarco Pavone26

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
Management line under Pavone	Boris Ivanovic	Alpamayo-1 (2025); trajdata (2023)	A
Next-Generation AV Architectures (research thrust)		Alpamayo-1 (2025); DiffStack (2022)	E
AV Foundation Models (research thrust)		Alpamayo-R1 (2025); Wolf dense video captioning (2025)	E
Simulation (research thrust)		CTG controllable traffic simulation (2023); BITS (2023)	E
AI Safety for AVs (research thrust)		Sample-Efficient Safety Assurances using Conformal Prediction (2022); Task-Relevant Failure Detection for Trajectory Predictors (2022)	E

Name	Title	Focus	Notable work	Links	Tier
Apoorva Sharma	Research Scientist	uncertainty quantification for safe ML	SCOD: Sketching Curvature for OOD Detection (2021); Continuous Meta-Learning without Tasks (2020)	org · site	A
Bertrand Douillard		end-to-end AV models, RSSM, RFT		org	A
Boris Ivanovic	Senior Research Scientist and Manager	trajectory forecasting, end-to-end AV stacks	Alpamayo-1 (2025); trajdata (2023); DiffStack (2022)	org · site	A
Boyi Li	Research Scientist	multimodal, data-efficient vision-language models	Wolf dense video captioning (2025); Describe Anything (2025)	org · site	A
Chaowei Xiao	Research Scientist (Faculty Scientist); Assistant Professor, Unive	trustworthy/secure multimodal foundation models	Spatially Transformed Adversarial Examples (2018); DiffPure (2022); AutoDAN (2024)	org · site	A
Ed Schmerling	Research Scientist	generative modeling, simulation, safety assurance	Learning Autonomous Vehicle Safety Concepts from Demonstrations (2023); Real-Time Anomaly Detection and Reactive Planning with LLMs (2024)	org · site	A
Gerry Che		object-centric learning for driving agents	CTG controllable traffic simulation (2023)	org	A
Heng Yang	Research Scientist (Faculty Scientist); Assistant Professor, Harva	certifiable perception, trustworthy autonomy	Graduated Non-Convexity (GNC) robust estimation (2020); Object Pose Estimation with Statistical Guarantees (2023)	org · site	A
Jack (Huize) Shi	Senior Research Engineer	end-to-end autonomous driving		org	A
Jef Packer	Research Engineer	interaction-aware planning and decision-making		org · site	A
Karen Leung	Research Scientist (Faculty Scientist); Assistant Professor, Unive	safe interaction-aware planning, formal methods	Learning Autonomous Vehicle Safety Concepts from Demonstrations (2023); Interaction-Dynamics-Aware Perception Zones (2022)	org · site	A
Marco Pavone	Director of Autonomous Vehicle Research, NVIDIA (Associate Profess	autonomous systems design and control	Alpamayo-1 (2025); CTG controllable traffic simulation (2023); BITS (2023)	org · site	A
Maximilian Igl	Senior Research Scientist	data-driven AV simulation, RL generalization		org · site	A
Michael Watson	Research Engineer	AV simulation and control algorithms	Sim2Val (2025)	org	A
Peter Karkus	Research Scientist	differentiable/structured planning for driving	DiffStack (2022); Differentiable SLAM-net (2021); Differentiable Mapping Networks (2020)	org · site	A
Rachel Luo	Research Scientist	uncertainty quantification, AV safety/reliability	Sample-Efficient Safety Assurances using Conformal Prediction (2022); Local Calibration: Metrics and Recalibration (2022)	org · site	A
Sushant Veer	Research Scientist	safe decision-making, out-of-ODD edge cases	Receding Horizon Planning with Rule Hierarchies (2023); Task-Relevant Failure Detection for Trajectory Predictors (2022); Learning Autonomous Vehicle Safety Concepts from Demonstrations (2023)	org · site	A
Wenhao Ding	Research Scientist	safety-critical scenario generation, causal RL	Alpamayo-R1 (2025); RealDrive (2025); CAT-K closed-loop SFT of tokenized traffic models (2025)	org · site	A
Wenjie Luo	Senior Research Scientist	deep perception, prediction and planning	Fast and Furious (2018); PIXOR (2018); End-to-end Interpretable Neural Motion Planner (2019)	org · site	A
Xiangyu Chen	Senior Research Engineer	multimodal learning for driving perception	DiffuBox (2024); Waymax (2023)	org · site	A
Xinshuo Weng	Research Scientist	3D multi-object tracking, prediction	MTP: Multi-Hypothesis Tracking and Prediction (2022); Whose Track Is It Anyway? (2022); Robust Trajectory Prediction against Adversarial Attacks (2022)	org · site	A
Yan Wang	Research Scientist	cost-effective 3D driving perception	Pseudo-LiDAR (2019); Alpamayo-R1 (2025); STORM (2025)	org · site	A
Yulong Cao	Research Scientist	AV perception security and safety	AdvDO (2022); Robust Trajectory Prediction against Adversarial Attacks (2022); You Can't See Me: physical LiDAR removal attacks (2023)	org · site	A
Yurong You	Research Scientist	multi-camera encoding, end-to-end driving	Pseudo-LiDAR++ (2020); Hindsight is 20/20 (2022); Ithaca365 (2022)	site	A
Yuxiao Chen	Research Scientist	safety-critical planning and decision-making	ScePT (2022); Tree-structured Policy Planning (2023); BITS (2023)	org	A
Zheng Lian	Research Engineer	AV data and platform infrastructure		org	A

▶SRL — Seattle roboticsYashraj Narang20

Groups inside this org — leads are inferred unless tier A

Group	Flagship	Tier
Perception	RVT (2023); RVT-2 (2024)	A
Task and Motion Planning	cuRobo (2023); cuTAMP / Differentiable GPU-Parallelized TAMP (2024)	A
Control	cuRobo (2023); Geometric Fabrics (2022)	A
Reinforcement Learning	SHAC: Accelerated Policy Learning with Parallel Differentiable Simulation (2022); IndustReal (2023)	A
Imitation Learning	MimicGen (2023); SkillGen (2024)	A
Simulation	Factory: Fast Contact for Robotic Assembly (2022); DiSECt (2021)	A
Human-Robot Interaction	Reactive Human-to-Robot Handovers (2021); Inference-Time Policy Steering (2025)	A

Name	Title	Focus	Notable work	Links	Tier
Alexander Lefort	Lab Technician	robot hardware lab support		—	A
Alperen Degirmenci	Senior Robotics Research Engineer	world models, end-to-end learning, VLAs	The NVIDIA PilotNet Experiments (2020)	org · site	A
Ankit Goyal	Senior Research Scientist	3D perception, manipulation policy learning	RVT (2023); SimpleView (2021); Non-Deep Networks / ParNet (2022)	org · site	A
Anqi Li	Research Scientist	safe and sample-efficient robot learning	Geometric Fabrics (2022); HAMSTER (2024)	org · site	A
Caelan Garrett	Senior Research Scientist	task and motion planning, manipulation	PDDLStream (2020); Integrated Task and Motion Planning (2021); SkillGen (2024)	org · site	A
Claudia Pérez D'Arpino	Research Scientist, Robotics-AI	policy steering, VR teleoperation, HRI	iGibson (2021); Inference-Time Policy Steering (2025)	org · site	A
Elie Aljalbout	Research Scientist	world models, sim-to-real, RL	The Reality Gap in Robotics (2026)	org · site	A
Fabio Ramos	Principal Research Scientist (also Professor, University of Sydney	Bayesian inference, uncertainty, sim-to-real	cuRobo (2023); STORM joint-space MPC (2021); SHAC: Accelerated Policy Learning with Parallel Differentiable Simulation (2022)	org · site	A
Hugo Hadfield	Senior Robotics Research Software Engineer	dexterous manipulation, real-time control		org · site	A
Iretiayo Akinola	Senior Research Scientist	accelerated simulators, sim-to-real transfer	TacSL (2024); Factory: Fast Contact for Robotic Assembly (2022); IndustReal (2023)	org · site	A
Jie Xu	Research Scientist	differentiable simulation, robot learning	SHAC: Accelerated Policy Learning with Parallel Differentiable Simulation (2022); Neural Robot Dynamics (2025); TacSL (2024)	org · site	A
Lars Johannsmeier	Research Scientist	contact-intensive manipulation, deployable systems	Process-centric manipulation taxonomy for tactile robot skills (2025)	org · site	A
Moritz Benno Reuss	Research Scientist	efficient robot foundation models, VLAs	FLOWER (2025); MoDE (2025); BESO (2023)	site	A
Rowland O'Flaherty	Senior Robotics Research Software Engineer	planning, optimal control, research software	scene_synthesizer (2025)	org	A
Tucker Hermans	Faculty Scientist (NVIDIA senior research scientist; Associate Pro	multi-sensory manipulation, learning and control	StructDiffusion (2023); DefGraspSim (2022); DefGraspNets (2023)	org · site	A
Wei Yang	Research Scientist	vision for manipulation, human-robot handover	Reactive Human-to-Robot Handovers (2021); HandoverSim (2022); DexYCB (2021)	org · site	A
Xuning Yang	Senior Research Scientist	policy evaluation benchmarks, mobile manipulation	RoboLab (2026); RoboArena (2025); Aim My Robot (2025)	org · site	A
Yashraj Narang	Team Leader (lab lead)	contact-rich manipulation, sim-to-real	Factory: Fast Contact for Robotic Assembly (2022); IndustReal (2023); DexYCB (2021)	org · site	A
Yijie Guo		demonstration-efficient manipulation learning	RVT (2023); RVT-2 (2024)	org · site	A
Yixuan Wang	Research Scientist	robotic manipulation, 3D representations		org · site	A

▶RTR — real-time graphicsAaron Lefohn31

Groups inside this org — leads are inferred unless tier A

Group	Lead	Flagship	Tier
Redmond, WA site group	Chris Wyman	ReSTIR (2020); RTXDI (2021)	A
Helsinki, Finland site		Gradient-Domain Path Tracing (2015); ReSTIR GI (2021)	A
Lund / Sweden site cluster		Noise2Noise (2018); nvdiffrec (2022)	D
Zurich / Switzerland site cluster		Neural Importance Sampling (2019); Neural Control Variates (2020)	E
Research thrusts (from the lab's own homepage text, not org units)	Aaron Lefohn	DLSS; RTXDI	A

Name	Title	Focus	Notable work	Links	Tier
Aaron Lefohn	Vice President, Graphics Research (RTR Team Leader)	leads real-time graphics research	Real-Time Neural Appearance Models (2023); Recurrent Denoising Autoencoder for Monte Carlo sequences (2017); Aggregate G-Buffer Anti-Aliasing (2015)	org	A
Andrea Weidlich	Principal Researcher	appearance and spectral material modeling	Real-Time Neural Appearance Models (2023); Microfacet Theory for Non-Uniform Heightfields (2023)	org	A
Bart Wronski	Principal Research Scientist	ML plus signal/image processing	Stochastic Texture Filtering (2024); Random-Access Neural Compression of Material Textures (2023); Collaborative Texture Filtering (2025)	org · site	A
Benedikt Bitterli	Senior Research Scientist	neural appearance and scene representation	ReSTIR (2020); Generalized Resampled Importance Sampling (2022); Real-Time Neural Appearance Models (2023)	org · site	A
Bing Xu	Research Scientist	physically-based and neural rendering	NeuSample (2023); Residual Path Integrals for Re-Rendering (2024)	org · site	A
Blaire Yu	Research Scientist	generative materials, wave-optics appearance	Iridescent Feather Appearance Model (2024); Full-Wave Reference Simulator for Surface Reflectance (2023)	org · site	A
Chris Cummings	Senior Rendering Engineer	neural graphics tooling and infrastructure		org	A
Chris Wyman	Research Director (Distinguished Research Scientist), Redmond WA	real-time ray tracing, ReSTIR sampling	ReSTIR (2020); RTXDI (2021); SVGF spatiotemporal variance-guided filtering (2017)	org · site	A
Craig Kolb		real-time path tracing systems	Falcor rendering framework (2022)	org	A
Cyril Crassin	Research Scientist	voxel GI, filtering, ray-tracing pipelines	GigaVoxels (2009); Voxel Cone Tracing / VXGI (2011); The SGGX Microflake Distribution (2015)	org · site	A
Eugene d'Eon	Principal Research Scientist	volumetric scattering, linear transport theory	Sampling the Distribution of Visible Normals (2014); Efficient Rendering of Human Skin (2007); Quantized-Diffusion Model for Translucent Materials (2011)	org · site	A
Fabrice Rousselle	Senior Research Scientist	deep learning for real-time rendering	Neural Importance Sampling (2019); Kernel-Predicting Convolutional Networks denoiser (2017); Neural Radiance Caching (2021)	org · site	A
Jacob Munkberg	Principal Research Scientist	differentiable rendering, 3D reconstruction	Noise2Noise (2018); nvdiffrec (2022); FlexiCubes (2023)	org · site	A
Jan Novak	Principal Research Scientist	rendering and machine learning	Neural Importance Sampling (2019); Neural Control Variates (2020); Real-Time Neural Radiance Caching (2021)	org · site	A
Jon Hasselgren		differentiable rendering and denoising	Noise2Noise (2018); nvdiffrecmc (2022); Conservative Rasterization (2005)	org · site	A
Lifan Wu	Research Scientist	differential light transport, inverse rendering	Appearance-Preserving Prefiltering for Displacement-Mapped Surfaces (2019); Analytic Spherical Harmonic Gradients for Many Polygonal Area Lights (2020); Differentiable Time-Gated Rendering (2021)	org · site	A
Markus Kettunen	Senior Research Scientist	Monte Carlo light transport theory	Gradient-Domain Path Tracing (2015); ReSTIR GI (2021); E-LPIPS (2019)	org · site	A
Matt Pharr	Distinguished Research Scientist	ray tracing, ML for rendering	Physically Based Rendering / pbrt (2004); ispc (2012); Stochastic Texture Filtering (2024)	org · site	A
Milos Hasan	Principal Scientist	neural and procedural material generation	Matrix Row-Column Sampling (2007); MaterialGAN (2020); MatFormer (2022)	org · site	A
Peter Kocsis	Research Scientist	generative inverse and forward rendering	Intrinsic Image Diffusion (2024); LightIt (2024); IntrinsiX (2025)	org · site	A
Petrik Clarberg	Distinguished Research Scientist	real-time path tracing pipeline research	Wavelet Importance Sampling (2005); Falcor rendering framework (2022); Real-Time Neural Appearance Models (2023)	org · site	A
Pontus Ebelin	Research Scientist	image quality metrics, human perception	FLIP image difference evaluator (2020); Temporally Dense Ray Tracing (2019); Collaborative Texture Filtering (2025)	org · site	A
Ravi Ramamoorthi	Distinguished Research Scientist, Graphics (part-time); Ronald L.	light transport, sampling, neural rendering	NeRF (2020); Irradiance Environment Maps / spherical harmonic lighting (2001); A Signal-Processing Framework for Inverse Rendering (2001)	org · site	A
Saeed Hadadan	Research Scientist	generative rendering, neural materials	Neural Radiosity (2021); Inverse Global Illumination using a Neural Radiometric Prior (2023); Generative Detail Enhancement for Physically Based Materials (2025)	site	A
Sai Bangaru	Research Scientist	differentiable compilers, Slang autodiff	Slang.D (2023); Unbiased Warped-Area Sampling for Differentiable Rendering (2020); Teg / Systematically Differentiating Parametric Discontinuities (2021)	org · site	A
Simon Kallweit	Senior Software Engineer (title as of joining in 2019)	rendering research software infrastructure	Real-Time Neural Appearance Models (2023); Falcor rendering framework (2022)	org · site	A
Steve Marschner	Professor of Computer Science, Cornell University; part-time NVIDI	appearance modeling of materials	Light Scattering from Human Hair Fibers (2003); A Practical Model for Subsurface Light Transport (2001); Manifold Exploration (2012)	org · site	A
Tizian Zeltner	Senior Research Scientist	appearance modeling, differentiable rendering	Real-Time Neural Appearance Models (2023); Specular Manifold Sampling (2020); Monte Carlo Estimators for Differential Light Transport (2021)	org · site	A
Tomas Akenine-Moller	Distinguished Research Scientist	real-time rendering, ray tracing, hardware	Moller-Trumbore ray-triangle intersection (1997); Real-Time Rendering (book, 1999); FLIP image difference evaluator (2020)	org · site	A
Tomas Davidovic	Principal Engineer	real-time rendering, scene processing	Real-Time Neural Appearance Models (2023)	org	A
Ziyi Zhang	Research Scientist	light transport, differentiable rendering	Radiance Surfaces (2025); Many-Worlds Inverse Rendering (2025)	org · site	A

▶AMRI — AI-mediated realityShalini De Mello10

Name	Title	Focus	Notable work	Links	Tier
Alex Trevithick	Research Scientist	generative 3D/4D vision, world models	GRF (2021); Live 3D Portrait (2023); What You See Is What You GAN (2024)	org · site	A
Amrita Mazumdar	Senior Research Scientist	streaming, compression, 3D/4D representations	QUEEN (2024); Play4D (2025); AI-Mediated 3D Video Conferencing (2023)	org · site	A
Christian Jacobsen	Research Scientist	generative modeling, human-robot interaction	CoCoGen (2025); 3D-Generalist (2025)	org · site	A
Jonghyun Kim	Senior Research Scientist	holographic near-eye AR/VR displays	NVGaze (2019); Neural Holography (2020); AI 3D Selfie (2025)	org · site	A
Koki Nagano	Principal Research Scientist	digital humans, generative 3D, media forensics	EG3D (2022); Live 3D Portrait (2023); GeNVS (2023)	org · site	A
Michael Stengel	Research Scientist	computer graphics, telepresence, VR rendering	NVGaze (2019); Foveated AR (2019); Live 3D Portrait (2023)	org · site	A
Seonwook Park	Senior Research Scientist	computational human perception, gaze estimation	Few-Shot Adaptive Gaze Estimation (2019); ETH-XGaze (2020); Towards End-to-end Video-based Eye-tracking (2020)	org · site	A
Shalini De Mello	Director of Research, New Experiences	human-AI interaction, 4D world modeling	EG3D (2022); GroupViT (2022); Few-Shot Adaptive Gaze Estimation (2019)	org · site	A
Shengze Wang	Research Scientist	lifelike robots, digital humans, telepresence	BLADE (2025); Coherent3D (2025); EDPLVO (2022)	org · site	A
Tianye Li	Research Scientist	digital humans, 4D capture, graphics	FLAME (2017); SoftRas (2019); QUEEN (2024)	org · site	A

▶HPX — human performanceJoohwan Kim8

Name	Title	Focus	Notable work	Links	Tier
Alex Zook		games, generative agents, 3D worlds	3D-GENERALIST (2026); FactorSim (2025); Interactive Texture Painting with Generative AI (2024)	org · site	A
Ben Boudaoud		esports, HCI, input latency	Foveated AR (2019); SIDOD (2019); Constant Field of View Display Size Effects on First-Person Aiming Time (2023)	org · site	A
Ekta Prashnani		perceptual quality, deepfake detection	PieAPP (2018); Avatar Fingerprinting (2024); Noise-Aware Video Saliency Prediction (2021)	org · site	A
Jaehyun (Jae-Hyun) Jung		vision science, AR/VR, low vision	Active Confocal Imaging for Visual Prostheses (2015); Multiplexing Prisms for Field Expansion (2017)	org · site	A
Joohwan Kim	Research Manager	applied perception, latency, esports	Towards Foveated Rendering for Gaze-Tracked VR (2016); Foveated AR (2019); NVGaze (2019)	org · site	A
Josef Spjut		esports, rendering, player performance	Temporally Dense Ray Tracing (2019); Scaling Probe-Based Real-Time Dynamic Global Illumination for Production (2020); Hybrid Modulation for Near Zero Display Latency (2016)	org · site	A
Peter Xenopoulos		esports analytics, sports ML	Awpy Counter-Strike demo parser; ESTA esports trajectory dataset	org · site	A
Ruth Rosenholtz		peripheral vision, visual perception	Measuring Visual Clutter (2007); Feature Congestion display clutter measure (2005); Capabilities and Limitations of Peripheral Vision (2016)	org · site	A

▶PAR — Tel AvivGal Chechik12

Name	Title	Focus	Notable work	Links	Tier
Assaf Hallak		reinforcement learning	SoftTreeMax (2025); Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction (2021)	org	A
Chen Tessler	Research Scientist	RL, physics-based character control	Reward Constrained Policy Optimization (2019); CALM (2023); MaskedMimic (2024)	org · site	A
Eli Meirom		graph neural networks, RL	From Local Structures to Size Generalization in Graph Neural Networks (2021); Controlling Graph Dynamics with RL and GNNs (2021); 'This is my unicorn, Fluffy' (2022)	org · site	A
Gal Chechik	Sr. Director of AI Research	vision-language, learning theory	Textual Inversion (2022); ConsiStory (2024); Add-it (2025)	org · site	A
Gal Dalal	Senior Research Scientist	RL, planning, search	Safe Exploration in Continuous Action Spaces (2018); Finite Sample Analyses for TD(0) with Function Approximation (2018); RL for Datacenter Congestion Control (2022)	org · site	A
Haggai Maron	Research Scientist	equivariant deep learning, geometry	On Learning Sets of Symmetric Elements (2020); Equivariant Architectures for Learning in Deep Weight Spaces (2023); Graph Metanetworks (2023)	org · site	A
Ido Greenberg	Senior Research Scientist	risk-averse RL, robust control	Efficient Risk-Averse Reinforcement Learning (2022); Optimization or Architecture: How to Hack Kalman Filtering (2023); Train Hard, Fight Easy: Robust Meta RL (2023)	org · site	A
Shie Mannor		reinforcement learning theory	Reward Constrained Policy Optimization (2019); CALM (2023); Reinforcement Learning for Datacenter Congestion Control (2022)	org · site	A
Yftah Ziser		NLP, LLM analysis		site	A
Yoad Tewel	Research Scientist	text-to-image personalization	Perfusion / Key-Locked Rank One Editing (2023); ConsiStory (2024); Add-it (2025)	org · site	A
Yoni Kasten		3D vision, SfM, reconstruction	Layered Neural Atlases (2021); VolSDF: Volume Rendering of Neural Implicit Surfaces (2021); Text2LIVE (2022)	org · site	A
Yuval Atzmon		vision-language, generative models	Textual Inversion (2022); Perfusion / Key-Locked Rank One Editing (2023); ConsiStory (2024)	org	A

▶Taiwan research labYu-Chiang Frank Wang12

Name	Title	Focus	Notable work	Links	Tier
ByungKwan Lee		multimodal LLMs	VLsI (2025)	—	A
Cheng Sun		3D reconstruction, neural fields	DirectVoxGO (2022); HorizonNet (2019); HoHoNet (2021)	org · site	A
Chi-Pin Huang	Research Scientist	video generation, editing	ThinkAct (2025); VideoMage (2025)	org · site	A
Fred (Fu-En) Yang	Research Scientist	vision-language, embodied AI	ThinkAct (2025); VideoMage (2025); RAPPER (2024)	org · site	A
Guan-Ting (Danny) Liu		LLM agents; also listed under EDA	Hierarchical Programmatic Reinforcement Learning (2023); Sub-Resolution Assist Feature Generation with RL and Transfer Learning (2022)	org · site	A
Jaesung Choe		3D vision, point clouds	Mosaic3D (2025); Dr. Splat (2025)	org · site	A
Min-Hung Chen	Research Scientist	efficient tuning, multimodal LLM	ThinkAct (2025); Hymba (2025); Omni-RGPT (2025)	org · site	A
Ryo Hachiuma	Research Scientist	video understanding, human pose	Structured Keypoint Pooling (2023); Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation (2021); SANER (2024)	org · site	A
Sung-Feng Huang		speech synthesis, voice conversion	Meta-TTS (2022); Audio Word2Vec (2019)	org · site	A
Szu-Wei Fu		speech enhancement, audio ML	MetricGAN (2019); MetricGAN+ (2021); Quality-Net (2018)	org · site	A
Yu-Chiang Frank Wang	Research Director, Deep Learning & Computer Vision	generative AI, multimodal, 3D	ThinkAct (2025); Frido (2023); Paraphrasing Is All You Need for Novel Object Captioning (2023)	org · site	A
Yusuke Hirota		vision-language bias, captioning	Quantifying Societal Bias Amplification in Image Captioning (2022); Gender and Racial Bias in VQA Datasets (2022); SANER (2024)	org · site	A

▶EDA — design automationHaoxing (Mark) Ren12

Name	Title	Focus	Notable work	Links	Tier
Chenhui Deng	Research Scientist	LLMs for RTL, graph learning	Polynormer (2024); ChipAlign (2025); ScaleRTL (2025)	org · site	A
Chia-Tung (Mark) Ho		LLM agents for design, analog	VerilogCoder (2025); NVCell 2 (2023); DRC-Coder (2024)	org · site	A
Guan-Ting (Danny) Liu		LLM for chip design	Hierarchical Programmatic Reinforcement Learning (2023); Sub-Resolution Assist Feature Generation with RL and Transfer Learning (2022)	org · site	A
Haoxing (Mark) Ren	Director of Design Automation Research	AI/LLM for chip design	ChipNeMo (2023); VerilogEval (2023); DREAMPlace (2019)	org · site	A
Haoyu Yang	Research Scientist	DFM, lithography, layout generation	DeePattern (2019); Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks (2022); ILILT (2024)	org · site	A
Mingjie Liu	Research Scientist	LLMs for RTL / ChipNeMo	ChipNeMo (2023); VerilogEval (2023); CraftRTL (2025)	org · site	D
Rongjian Liang	Research Scientist	GPU-accelerated EDA, placement	CircuitOps (2024); ChipNeMo (2023)	org	A
Wen-Hao Liu	Principal Research Scientist	routing, global placement	NCTU-GR 2.0 (2013); ISPD 2018 Initial Detailed Routing Contest and Benchmarks (2018); GPU/ML-Enhanced Large Scale Global Routing Contest (2024)	org · site	A
Yanqing Zhang		circuit design automation, GNNs	Simba (2019); GRANNITE (2020); MAGNet (2019)	org · site	A
Yi-Chen Lu		physical design, placement, ML for EDA	INSTA (2025); C3PO (2026)	site	A
Yunsheng Bai		graph learning for EDA	SimGNN (2019); GLSearch (2021); AssertionForge (2025)	org · site	A
Zongzhi Yu		ML for EDA	HW-NAS-Bench (2021); EDGE-LLM (2024); Spec2RTL-Agent (2025)	org · site	A

▶Conversational AIBoris Ginsburgno roster

No individual roster could be verified — the group tree above is what the evidence supports.

▶Digital biologyno roster

No individual roster could be verified — the group tree above is what the evidence supports.

Google4 orgs · 92 people59% official▶

▶Google DeepMindDemis Hassabis40

2010-09 DeepMind Technologies founded in London by Demis Hassabis, Shane Legg and Mustafa Suleyman. · 2014-01 Google acquires DeepMind (~GBP 400m / ~USD 500m). · 2023-04 Google Brain and DeepMind merged into a single unit, Google DeepMind, with Demis Hassabis as CEO. Jeff Dean moved to Chi · 2023-12 Gemini 1.0 launched — first model built jointly by the merged org; technical report authored collectively as 'Gemin · 2024-08 Google licenses Character.AI technology; Noam Shazeer returns to Google and becomes a Gemini technical co-lead. · 2024-10 Demis Hassabis and John Jumper share the Nobel Prize in Chemistry for AlphaFold. · 2024-10 Tim Brooks (Sora co-lead) leaves OpenAI for Google DeepMind to work on video generation and world simulators. · 2025-04 Sissie Hsiao steps down as head of the Gemini app; Josh Woodward (head of Google Labs) takes over, announced internally

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Gemini (frontier foundation models)	Oriol Vinyals and Noam Shazeer (technical co-leads); Jeff Dean as Chief Scientist; Koray Kavukcuoglu as CTO over the whole model stack. Sergey Brin is credited by name for guidance on 2025 model launches and is reported to be hands-on.	Frontier omni-modal LLM family: pre-training, post-training, multimodality, long context,	Gemini 1.0 (2023); Gemini 1.5 with 1M-token context (2024)	Largest single effort in GDM; Gemini technical reports carry 1,000+ named contributors in the contributions appendix	B
Gemini — pre-training	Jack Rae and Sebastian Borgeaud (co-leads)	Data curation, scaling laws, architecture, large-scale TPU training runs	Gopher (2021); Chinchilla (2022)	unknown	D
Gemini — post-training / evaluation	Slav Petrov (Senior Director, Gemini co-lead)	Instruction tuning, RLHF/RLAIF, safety tuning, evals and benchmarks	Gemini post-training recipes (2024-2026); Gemini eval suite	unknown	C
Gemini — multimodal	Jean-Baptiste Alayrac and colleagues from the Flamingo/PaLI lineage	Native image, video, audio and speech understanding fused into the Gemini backbone	Flamingo (2022); Gemini native multimodality (2023-)	unknown	D
Gemini — reasoning / thinking	CONTESTED as of mid-2026. Denny Zhou led Google Brain's reasoning team and is reported to have departed in 2026; Jack Rae has publicly presented the Deep Think line of work.	Chain-of-thought, self-consistency, test-time compute (Deep Think), competition maths and	Chain-of-Thought prompting (2022); Self-Consistency (2023)	unknown	E
Science (AI for Science)	Pushmeet Kohli — VP of Research, head of the Science and Strategic Initiatives unit; John Jumper directs the AlphaFold line	Structural biology, genomics, mathematics, algorithm discovery, weather, materials, fusion	AlphaFold 2 (2021); AlphaFold 3 (2024)	unknown (hundreds)	A
Isomorphic Labs (spun OUT of DeepMind — NOT a GDM subgroup)	Demis Hassabis (Founder & CEO); Colin Murdoch (President, moved from GDM Chief Business Officer); Max Jaderberg (Chief AI Officer, moved from DeepMind 2023); Sergei Yakneen (CTO)	Drug design on AlphaFold-derived models; partnerships with Eli Lilly and Novartis; first h	AlphaFold 3 co-development (2024); Eli Lilly and Novartis partnerships (2024)	~150-200 (2025 reporting)	B
Robotics / Embodied AI (Gemini Robotics)	Carolina Parada — Senior Director and Head of Robotics	Vision-language-action models, dexterous manipulation, embodied reasoning, on-device robot	RT-1 (2022); RT-2 (2023)	unknown	B
Generative Media (Veo, Imagen, Lyria, Nano Banana)	Douglas Eck (Senior Research Director) on the creative/generative-media side; Veo credits are headed by Jeff Donahue, Sander Dieleman, Shlomi Fruchter and Ben Poole among core contributors	Video (Veo), image (Imagen, Nano Banana), music (Lyria), speech; distribution via Flow, Wh	Imagen (2022); MusicLM (2023)	unknown	B
World models / open-endedness (Genie, SIMA)	Tim Rocktaschel (Research Director, open-endedness) with Satinder Singh in a senior advisory/leadership role; Jack Parker-Holder and Shlomi Fruchter as project co-leads	Real-time generative interactive environments, embodied agents, open-ended learning	Genie (2024); Genie 2 (2024)	~30 core contributors named on Genie 3, plus ~70 acknowledged	A
AI Safety and Alignment	Anca Dragan — Director / Head of AI Safety and Alignment	Technical alignment, mechanistic interpretability, dangerous-capability evals, scalable ov	Frontier Safety Framework (2024, v2 2025, v3 2025); Gemma Scope sparse autoencoders (2024)	unknown (grew substantially 2024-2026)	A
Frontier Safety and Governance / Responsibility / Security	Allan Dafoe (Director of Frontier Safety and Governance); Helen King (Senior Director of Responsibility); Four Flynn (VP of Security)	Frontier Safety Framework, misuse threat modelling, policy, responsible deployment, model-	Frontier Safety Framework v1-v3 (2024-2025); Ethical and social risks of harm from language models (2021)	unknown	C
AGI safety / long-horizon research	Shane Legg — co-founder, Chief AGI Scientist	Definitions and levels of AGI, AGI safety agenda, capability forecasting	Universal Intelligence (2007); Levels of AGI (2023)	small	B
Core / foundational research (the 'research org proper')	Distributed rather than single-headed: David Silver (RL and search), Raia Hadsell (VP of Research), Satinder Singh (senior research lead), Danilo Rezende (deep generative models), under Koray Kavukcuoglu as CTO and Jeff Dean as Chief Scientist	Reinforcement learning, search and planning, deep generative models, graph/algorithmic rea	AlphaGo (2016); AlphaZero (2018)	unknown	B
Google Brain (as a distinct entity)	n/a — dissolved as a named organisation at the 2023-04 merger	NOTHING REMAINS as a distinct entity. Brain's people, its TPU/JAX/Pathways infrastructure	Transformer (2017); TensorFlow (2015)	0 as a named unit	A
Gemini app / product (Google product side, not GDM research)	Josh Woodward — VP, Gemini app and Google Labs (since 2025-04)	Consumer Gemini assistant surface. Sits on the Google product side, but the leadership cha	NotebookLM (2023); Gemini app (2025-)	unknown	B

Name	Title	Focus	Notable work	Links	Tier
Allan Dafoe	Director of Frontier Safety and Governance	AI governance, cooperative AI	AI Governance: A Research Agenda (2018); Open Problems in Cooperative AI (2020); Frontier Safety Framework (2024)	site	A
Anca Dragan	Director / Head of AI Safety and Alignment; Associate Professor (o	Alignment, human-AI interaction	Legibility and Predictability of Robot Motion (2013); Cooperative Inverse Reinforcement Learning (2016); Frontier Safety Framework (2024)	site	A
Ben Poole	Research Scientist	Diffusion, 3D and video generation	DreamFusion (2022); Score-Based Generative Modeling through SDEs (2021); Veo (2024-2025)	site	A
Carolina Parada	Senior Director and Head of Robotics	Vision-language-action robot models	RT-2 (2023); Gemini Robotics (2025); Gemini Robotics 1.5 / ER 1.5 (2025)	org	B
Danilo J. Rezende	Senior Director / Director of Research, deep generative models	Deep generative models, physics-inspired ML	Stochastic Backpropagation and Approximate Inference / VAE (2014); Variational Inference with Normalizing Flows (2015); Generative Query Networks (2018)	site	A
David Silver	VP of Research / Principal Research Scientist, reinforcement learn	RL, search, self-play	AlphaGo (2016); AlphaZero (2018); MuZero (2020)	site	A
Demis Hassabis	Co-founder and CEO, Google DeepMind	AGI strategy, science applications	AlphaGo (2016); AlphaFold 2 (2021); Gemini (2023)	org · site	A
Doina Precup	Research Team Lead, Montreal (2026 status UNCERTAIN); Professor, M	Hierarchical RL, options framework	Between MDPs and Semi-MDPs / Options (1999); Eligibility Traces for Off-Policy Policy Evaluation (2000); The Option-Critic Architecture (2017)	site	C
Douglas Eck	Senior Research Director	Generative media, music, creativity	Magenta (2016); Music Transformer (2018); MusicLM (2023)	org · site	A
Iason Gabriel	Senior Staff Research Scientist, ethics and society	AI ethics, value alignment	Artificial Intelligence, Values and Alignment (2020); The Ethics of Advanced AI Assistants (2024)	site	A
Jack Parker-Holder	Senior Research Scientist	Open-ended learning, world models	Human-Timescale Adaptation / AdA (2023); Genie 2 (2024); Genie 3 (2025)	site	A
Jack Rae	Principal Research Scientist; pre-training and reasoning lead	Scaling, long context, thinking models	Compressive Transformer (2019); Gopher (2021); Gemini Deep Think (2025)	—	D
Jean-Baptiste Alayrac	Staff Research Scientist; Gemini multimodal	Vision-language models, video understanding	Flamingo (2022); Gemini (2023)	site	A
Jeff Dean	Chief Scientist, Google DeepMind and Google Research	Systems, scaling, TPU-era architecture	MapReduce (2004); TensorFlow (2015); Pathways (2021)	org · site	A
Jeff Donahue	Research Scientist; Veo core contributor / co-lead	Generative video and image models	DeCAF (2014); Adversarial Feature Learning / BiGAN (2017); BigGAN (2019)	site	A
John Jumper	Director; AlphaFold lead	Protein structure prediction	AlphaFold 2 (2021); AlphaFold 3 (2024)	site	A
Josh Woodward	VP, Gemini app and Google Labs (since 2025-04)	Consumer Gemini assistant	NotebookLM (2023); Gemini app (2025-)	—	B
Koray Kavukcuoglu	CTO, Google DeepMind; SVP and Chief AI Architect, Google (since 20	Model stack, research-to-product integration	Human-level control through deep RL / DQN (2015); WaveNet (2016); Gemini (2023)	—	B
Matej Balog	Staff Research Scientist	Program synthesis, algorithm discovery	AlphaTensor (2022); FunSearch (2023); AlphaEvolve (2025)	site	A
Max Jaderberg	DEPARTED GDM — Chief AI Officer, Isomorphic Labs (since 2023)	Drug design models	Spatial Transformer Networks (2015); Population Based Training (2017); AlphaStar (2019)	site	A
Neel Nanda	Senior Research Scientist; leads the mechanistic interpretability	Mechanistic interpretability	TransformerLens (2022); Progress Measures for Grokking via Mechanistic Interpretability (2023); Gemma Scope (2024)	site	A
Noam Shazeer	VP; technical co-lead, Gemini (rejoined Google 2024-08)	Transformer architectures, efficiency, mixture-of-experts	Attention Is All You Need (2017); Sparsely-Gated Mixture-of-Experts (2017); Gemini (2023-)	—	B
Oriol Vinyals	VP of Research; technical co-lead, Gemini	Deep learning, sequence models, agents	Sequence to Sequence Learning (2014); Pointer Networks (2015); AlphaStar (2019)	org · site	C
Petar Velickovic	Senior Staff Research Scientist (London); Affiliated Lecturer, Uni	Graph neural networks, algorithmic reasoning	Graph Attention Networks (2018); Deep Graph Infomax (2019); Neural Algorithmic Reasoning (2021)	site	A
Peter Battaglia	Research Director; physics and weather modelling	Graph networks, simulation, weather	Relational inductive biases, deep learning, and graph networks (2018); GraphCast (2023); WeatherNext (2024)	—	D
Pushmeet Kohli	VP of Research; head of the Science and Strategic Initiatives unit	AI for science, algorithm discovery	AlphaFold 2 (2021); AlphaTensor (2022); FunSearch (2023)	org · site	A
Quoc V. Le	Distinguished Scientist	Sequence learning, AutoML, scaling	Sequence to Sequence Learning (2014); Neural Architecture Search (2017); EfficientNet (2019)	org · site	A
Raia Hadsell	VP of Research	Continual learning, robotics, navigation	Dimensionality Reduction by Learning an Invariant Mapping / DrLIM (2006); Progressive Neural Networks (2016); Elastic Weight Consolidation (2017)	site	A
Rohin Shah	Research Scientist; leads an AGI alignment team	Scalable/amplified oversight, alignment agenda	Preferences Implicit in the State of the World (2019); Alignment Newsletter (2018-2022); An Approach to Technical AGI Safety and Security (2025)	site	A
Sander Dieleman	Research Scientist / Principal Scientist, generative modelling	Diffusion models, audio and video generation	WaveNet (2016); Veo (2024-2025); 'Diffusion models are autoencoders' blog series	site	A
Satinder Singh	Senior research lead / Distinguished Scientist; Professor, Univers	Reinforcement learning, reward design, agents	Reward is Enough (2021); Discovery of Useful Questions as Auxiliary Tasks (2019); Genie 3 guidance (2025)	—	B
Sebastian Borgeaud	Research Scientist; Gemini pre-training co-lead	Retrieval, scaling laws, pre-training	RETRO (2021); Chinchilla (2022); Gemini (2023)	—	D
Shane Legg	Co-founder and Chief AGI Scientist	AGI definition, timelines, safety	Universal Intelligence (2007); Machine Super Intelligence (2008); Levels of AGI (2023)	site	B
Shlomi Fruchter	Research lead, Genie / generative video	World models, video generation	Genie 3 (2025); Veo (2024-2025)	—	A
Slav Petrov	Senior Director; Gemini co-lead (post-training and evaluation)	NLP, evaluation, post-training	Learning Accurate, Compact and Interpretable Tree Annotation (2006); Universal Dependencies (2016); Gemini (2023-)	org · site	C
Tim Brooks	Research Scientist, video generation and world simulators (joined	Video generation, world simulation	InstructPix2Pix (2023); Sora (2024)	site	A
Tim Rocktaschel	Research Director / Senior Staff Research Scientist, open-endednes	Open-endedness, world models, agents	NetHack Learning Environment (2020); Genie (2024); Genie 3 (2025)	site	A
Tim Salimans	Principal Research Scientist (Amsterdam)	Diffusion models, distillation, fast sampling	Improved Techniques for Training GANs (2016); PixelCNN++ (2017); Progressive Distillation for Fast Sampling of Diffusion Models (2022)	—	D
Volodymyr Mnih	Research Scientist (Toronto)	Deep reinforcement learning	Playing Atari with Deep RL / DQN (2013); Human-level control through deep RL (2015); A3C (2016)	—	D
Yee Whye Teh	Senior Research Scientist (part-time); Professor of Statistical Ma	Bayesian ML, probabilistic deep learning	Hierarchical Dirichlet Processes (2006); A Fast Learning Algorithm for Deep Belief Nets (2006); Neural Processes (2018)	site	A

▶Google ResearchYossi Matias39

2018-04 Google consolidates its AI efforts under the 'Google AI' banner with Jeff Dean leading; Google Brain and Googl · 2023-04 Google Brain is merged with DeepMind to form Google DeepMind under Demis Hassabis. Jeff Dean becomes Chief Scientist of · 2024-04-18 Sundar Pichai's 'Building for our AI future' reorg: 'Moving Responsible AI teams in Research to Goog · 2024/2025 The medical foundation-model line (Med-PaLM -> AMIE -> MedGemma -> AI co-scientist) is re-badged to Google Deep · 2025-06 Koray Kavukcuoglu (GDM CTO) is elevated to Alphabet Chief AI Architect / SVP, reporting to Sundar Pichai — a further cen · 2026-07-29 research.google taxonomy at time of writing: three pillars — 'Applied AI & Sciences' (Earth AI, Health AI,

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Algorithms & Optimization	Vahab S. Mirrokni	Graph mining, large-scale optimization, market algorithms, learning theory; the algorithmi	Online Stochastic Matching: Beating 1-1/e (2009); DeepWalk (2014, Perozzi)	several dozen research scientists across NY/Zurich/Mountain View (est.)	A
Graph Mining	Vahab Mirrokni (org lead); Bryan Perozzi, Silvio Lattanzi, Alessandro Epasto, Jonathan Halcrow among the senior scientists	Graph learning, clustering, GNNs at web scale, TensorFlow-GNN	DeepWalk (2014); TensorFlow-GNN (2021)	~15-25 named researchers on the team page	A
Market Algorithms / Large-Scale Optimization / Operations Research	Vahab Mirrokni (umbrella); Sreenivas Gollapudi, Renato Paes Leme, Santiago Balseiro, David Applegate, Laurent Perron (OR-Tools) named on the pages	Auction and mechanism design, LP/MIP solvers at Google scale, constraint programming	OR-Tools (open source, ongoing); PDLP first-order LP solver (2021)	unknown	A
System Performance / Systems Research	Parthasarathy (Partha) Ranganathan	Warehouse-scale computing, silicon/TPU co-design, ML for systems, compilers, ML for code	The Datacenter as a Computer (book, 3rd ed. 2018); Google's Video Coding Unit / VCU ASIC (2021)	unknown; ~20 named on the team page	A
Climate & Sustainability / Crisis Resilience	Yossi Matias is personally listed on the team page; John Platt is the Google Fellow technical lead for Climate and Science; Grey Nearing leads flood/hydrology	Flood forecasting, wildfire detection, contrail avoidance, weather/climate ML, geothermal	Flood Hub / global AI flood forecasting (Nature 2024); FireSat & wildfire boundary detection (2023-2025)	unknown; ~20 named on the team page	A
Applied Science	John Platt (Google Fellow, technical leader for Climate and Science)	AI for the natural sciences — connectomics, genomics, materials, weather, neuroscience	Flood-Filling Networks / H01 human cortex connectome (2021, Jain & Januszewski); DeepVariant (2018, McLean et al.)	unknown; ~25 named on the team page	A
Health AI	Greg Corrado is the long-standing Google 'Head of Health AI'; the foundation-model side (AMIE, Med-PaLM, MedGemma) is now led by Alan Karthikesalingam and Vivek Natarajan, who both describe themselves as Google DeepMind	Medical LLMs, diagnostic dialogue, dermatology/retina imaging, wearables & sensor models,	Med-PaLM / Med-PaLM 2 (2022-2023); AMIE diagnostic dialogue agent (Nature 2025)	unknown	B
Google Research India (Bangalore)	No single public lab head confirmed for 2026; Manish Gupta was the founding Director (2019-). Team leads: Prateek Jain (ML & Optimization), Partha Talukdar (NLU), Pradeep Shenoy (CogML), Varun Gulshan (Earth Observation Sciences), Aravindan Raghuveer	Indian-language NLP, on-device/efficient ML, ML for societal impact (public health, agricu	MuRIL multilingual Indic model (2021); MatFormer / nested Transformers (2023)	~100+ (est., unverified)	B
Quantum AI	Hartmut Neven	Superconducting qubits, quantum error correction, quantum algorithms & applications	Sycamore quantum supremacy (Nature 2019); Willow chip / below-threshold error correction (Nature 2024)	~200-300 (est., unverified)	A
Responsible AI (residual)	no single public lead in Google Research post-2024	Fairness, evaluation, data-centric AI, sociotechnical harms — the model-facing part moved	Model Cards (2019); Data Cards / Data Cards Playbook (2022, Pushkarna)	~30 named on the team page (mix of Research and GDM affiliations)	B
Athena	no named lead on the page; Sanjiv Kumar, Don Metzler, Ed H. Chi and Mehryar Mohri are the most senior names listed	Self-described as 'an international team of research scientists and engineers who tackle p	UL2 (2022); ScaNN vector search (2020)	~40 named on the page	B
Security, Privacy and Abuse Prevention	not publicly named	Differential privacy, federated analytics, anti-abuse, ML security	Deep Learning with Differential Privacy (2016, Abadi et al.); Google's differential privacy library (open source, 2019)	unknown	A
Networking (Global networking, Cloud networking, Network infrastructure)	Amin Vahdat is the senior Google figure over AI infrastructure and the historical networking VP	Datacenter and WAN networking, optical circuit switching, AI-infrastructure fabric	B4 software-defined WAN (2013); Jupiter Rising datacenter fabric (2015)	unknown	A
Paradigms of Intelligence (Pi)	Blaise Agüera y Arcas	Neural computing foundations, active inference, sociality, evolution, Artificial Life — an	Federated Learning (2016-17); Computational Life: self-replicating programs (2024)	small (tens)	A
Software Engineering & Programming Languages / ML for code	not publicly named; Danny Tarlow is the most senior ML-for-code scientist	Learned developer tooling, program repair, build systems, ML for compilers	Gated Graph Sequence Neural Networks (2016); DIDACT / learning from the software-engineering process (2023)	unknown	B

Name	Title	Focus	Notable work	Links	Tier
Alessandro Epasto	Research Scientist, Google Research NY (Graph Mining)	Graph mining, privacy, ego-networks	Ego-splitting framework (2017); Differentially private clustering (2021)	org	A
Amin Vahdat	Google Fellow and Chief Technologist for AI Infrastructure	TPUs, datacenter networks, AI infrastructure	B4 software-defined WAN (2013); Jupiter Rising (2015); TPU v4 with optical circuit switching (2023)	org · site	A
Aravindan Raghuveer	Research lead, Google Research India	ML for societal impact, data systems		org	C
Avinatan Hassidim	VP of Engineering, Google Research (Israel)	Algorithms, LLM efficiency, Israel research site	Fast Inference from Transformers via Speculative Decoding (ICML 2023); Flood forecasting (2022-2024)	org	C
Blaise Agüera y Arcas	VP and Fellow, Google; CTO of Technology & Society; founder of Par	Foundations of intelligence, artificial life	Federated Learning (2016-17); Computational Life: self-replicating programs (2024); What Is Intelligence? (book, 2025)	org	A
Bryan Perozzi	Research Scientist, Google Research (Graph Mining)	Graph representation learning, GNNs	DeepWalk (2014); TensorFlow-GNN (2021); Grale (2020)	org	A
Cory McLean	Staff Software Engineer / Research Scientist, Google Research (Gen	Genomics, variant calling	DeepVariant (Nature Biotech 2018); DeepConsensus (2022)	org	A
Danny Tarlow	Research Scientist, Google Research Montreal (ML for code)	Machine learning for software engineering	Gated Graph Sequence Neural Networks (2016); Learning to Represent Programs with Graphs (2018); DIDACT (2023)	org · site	A
Don Metzler	Senior Staff Research Scientist, Google Research (Athena)	Information retrieval, LLMs for search	Rethinking Search: Model-based Information Retrieval (2021); UL2 (2022); Long Range Arena (2021)	org	B
Edith Cohen	Research Scientist, Google Research; Professor at Tel Aviv Univers	Sketching, sampling, differential privacy	Size-estimation framework / all-distances sketches (1997); Composable sketches (2019)	org · site	A
Emily Denton	Senior Research Scientist, Google Research — Responsible AI / Tech	Sociotechnical AI, generative media ethics	Deep Generative Image Models using a Laplacian Pyramid (LAPGAN, 2015); Characterising Bias in Vision Datasets (2021)	org	A
Greg Corrado	Distinguished Scientist; Head of Health AI, Google (co-founder of	Health AI, neuroscience-inspired ML	DistBelief (2012); word2vec (2013); Diabetic retinopathy screening (JAMA 2016)	org	B
Grey Nearing	Research Scientist, Google Research — flood forecasting / hydrolog	AI hydrology, global flood forecasting	Global prediction of extreme floods in ungauged watersheds (Nature 2024); Flood Hub (2023)	org	A
James Manyika	SVP of Research, Labs, Technology & Society, Google & Alphabet	Executive owner of Google Research	McKinsey Global Institute AI & automation reports (2017-2018); AI2050 fellowship programme (2022-)	org · site	A
Jeff Dean	Chief Scientist, Google DeepMind and Google Research	Chief scientist both orgs	MapReduce (2004); TensorFlow (2016); Pathways / PaLM (2022)	org · site	B
John C. Platt	Google Fellow; technical leader for Climate and Science	AI for climate and physical science	SMO algorithm for SVMs (1998); Platt scaling / probabilistic outputs (1999); Contrail avoidance & flood forecasting work (2022-2024)	org	A
Karthikeyan Shanmugam	Research Scientist, Google Research India	Causal inference, bandits, learning theory	Learning causal graphs with small interventions (2015); Causal bandits work (2019-2023)	org	A
Katherine Heller	Research Scientist, Google Research — health & responsible AI	Bayesian ML, health equity	Bayesian Hierarchical Clustering (2005); Health equity / underspecification work (2021-2023)	org	B
Lora Aroyo	Research Scientist, Google Research — data-centric / responsible A	Data quality, rater disagreement, evaluation	Truth is a Lie: Crowd Truth (2015); DICES dataset (2023); Adversarial Nibbler (2023)	org · site	A
Mahima Pushkarna	Senior Interaction Designer / Researcher, Google Research — Respon	Data documentation and transparency	Data Cards (2022); Data Cards Playbook (2022)	org	B
Martín Abadi	Distinguished Scientist / Research Scientist, Google	Systems security, differential privacy, TensorFlow	TensorFlow (OSDI 2016); Deep Learning with Differential Privacy (CCS 2016); A Calculus for Access Control (1993)	org	C
Mehryar Mohri	Research Director / Senior Research Scientist, Google Research NY;	Learning theory, ensembles, ASR algorithms	Foundations of Machine Learning (book, 2012); AdaNet (2017); OpenFst (2007)	org · site	B
Michal Januszewski	Research Scientist, Google Research (Connectomics)	Connectomics reconstruction algorithms	Flood-Filling Networks (2018); H01 human cortex connectome (2024)	org	B
Milad Hashemi	Research Scientist, Google Research (System Performance)	ML for computer architecture	Learning Memory Access Patterns (2018); A Hierarchical Neural Model of Data Prefetching (2021)	org	A
Mingxing Tan	Research Scientist / Staff Software Engineer, Google (perception &	Efficient neural architectures	EfficientNet (2019); EfficientDet (2020); MnasNet (2019)	org	B
Partha Talukdar	Senior Staff Research Scientist, Google Research Bangalore — leads	Multilingual NLU, knowledge graphs	MuRIL multilingual Indic model (2021); NELL / never-ending language learning (2010-2015); IndicGenBench (2024)	org · site	A
Parthasarathy (Partha) Ranganathan	VP and Technical Fellow, Google (systems and silicon)	Warehouse-scale computing, custom silicon	The Datacenter as a Computer (book, 3rd ed. 2018); Google Video Coding Unit / VCU (2021); Warehouse-scale profiling & 'datacenter tax' (2015)	org	B
Pradeep Shenoy	Research Scientist, Google Research India — leads Cognitive Modeli	Cognitive modelling, ML robustness		org	B
Praneeth Netrapalli	Research Scientist, Google Research India	Optimization theory, robust ML	Non-convex matrix completion by alternating minimization (2013); How to escape saddle points efficiently (2017)	org	A
Prateek Jain	Research Scientist, Google Research India (ML & Optimization group	Non-convex optimization, efficient on-device ML	Low-rank matrix completion via alternating minimization (2013); FastGRNN (2018); MatFormer (2023)	org · site	A
Rahul Sukthankar	Distinguished Scientist, Google Research (machine perception / vid	Video understanding, computer vision	Large-scale Video Classification with CNNs (2014); AVA action dataset (2018); Sports-1M (2014)	org · site	B
Sanjiv Kumar	VP, Google Research (New York) — large-scale ML and learning theor	Large-scale ML, retrieval, federated optimization	ScaNN / anisotropic vector quantization (2020); Adaptive Federated Optimization (2021); Are Transformers universal approximators? (2020)	org · site	C
Sergei Vassilvitskii	Research Scientist, Google Research (Algorithms)	Approximation algorithms, clustering, algorithms with predictions	k-means++ (2007); Scalable k-means++ (2012); Algorithms with Predictions (book chapter, 2020)	org · site	A
Silvio Lattanzi	Research Scientist, Google Research Zurich (Graph Mining)	Graph clustering, sublinear algorithms	Affinity Clustering (2017); Distributed Balanced Partitioning (2016); Consistent k-clustering (2019)	org	A
Vahab S. Mirrokni	Google Fellow and VP, Google Research (Algorithms & Optimization)	Graph mining, market algorithms, optimization	Online Stochastic Matching: Beating 1-1/e (2009); Distributed Balanced Partitioning via Linear Embedding (2016); Tight approximation for submodular maximization (2008)	org	A
Varun Gulshan	Research Scientist, Google Research India — leads the Earth Observ	Geospatial ML for climate mitigation	Diabetic retinopathy deep learning (JAMA 2016); Earth observation / land-cover models (2022-)	org	A
Vinodkumar Prabhakaran	Senior Research Scientist, Google Research — Responsible AI	Fairness, cultural bias in LLMs	Cultural bias / SeeGULL stereotype benchmark (2023); Re-imagining Algorithmic Fairness in India (2021)	org	A
Viren Jain	Senior Staff Research Scientist, Google Research — leads the conne	Connectomics, large-scale 3D image segmentation	Flood-Filling Networks (Nature Methods 2018); H01 human cortex connectome (Science 2024); FlyWire / full fly brain connectome (Nature 2024)	org · site	A
Yossi Matias	Vice President, Google; Head / General Manager of Google Research	Leads all of Google Research	Google Duplex (2018); Flood Hub / AI flood forecasting (2018-); Speculative decoding (2023)	org	A

▶Google Quantum Artificial Intelligence Lab (Google Quantum AI)Hartmut Neven4

2012-05 Quantum Artificial Intelligence Lab founded by Hartmut Neven (with NASA Ames and USRA). · 2019-10 Sycamore processor claims quantum supremacy (Nature). · 2020 John Martinis, the hardware lead, departs Google Quantum AI. · 2024-12 Willow chip announced: below-threshold quantum error correction, error rate falling as the surface code grows. · 2025-10 Nobel Prize in Physics awarded to John Clarke, Michel Devoret and John Martinis for macroscopic quantum tunnelling in ci · 2025-10 'Quantum Echoes' — Google claims the first verifiable quantum advantage, run on Willow.

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Quantum Hardware (Santa Barbara)	Michel Devoret (Chief Scientist for Quantum Hardware); Julian Kelly (hardware director)	Superconducting qubit fabrication, error correction, Willow-class processors	Sycamore (2019); Willow / below-threshold surface code (2024)	unknown	C
Quantum Algorithms & Applications / Theory	Sergio Boixo (chief scientist, quantum computing theory) — not re-verified for 2026	Quantum algorithms, quantum chemistry, verifiable advantage benchmarks	Quantum supremacy benchmark design (2018-2019); Quantum Echoes / OTOC advantage (2025)	unknown	C

Name	Title	Focus	Notable work	Links	Tier
Hartmut Neven	VP of Engineering, Google; founder and manager, Quantum AI lab	Quantum computing for machine intelligence	Quantum supremacy using a programmable superconducting processor (2019); Willow chip (2024); Quantum Echoes (2025)	org	A
Julian Kelly	Director of Quantum Hardware, Google Quantum AI	Qubit hardware and error correction	Suppressing quantum errors by scaling a surface code logical qubit (Nature 2023); Willow (2024)	org	C
Michel Devoret	Chief Scientist for Quantum Hardware, Google Quantum AI; Professor	Superconducting qubit hardware	Transmon qubit (2007); Fluxonium qubit (2009); Quantronium (2002)	org	B
Sergio Boixo	Chief Scientist, Quantum Computing Theory, Google Quantum AI	Quantum advantage benchmarks and algorithms	Characterizing quantum supremacy in near-term devices (Nature Physics 2018); Quantum supremacy (Nature 2019)	org	C

▶Google Cloud AI / Vertex AI (Google Cloud)Saurabh Tiwary9

2019-01 Thomas Kurian becomes CEO of Google Cloud. · 2021-05 Vertex AI launched as the unified managed ML platform at Google I/O. · 2024-06 Saurabh Tiwary (ex-Microsoft CVP, Copilot) becomes VP & GM of Cloud AI, owning Vertex AI, Kaggle, Colab and later Ge · 2024-11 François Chollet (creator of Keras) leaves Google to co-found Ndea — a notable departure from Google's applied-AI s · 2025 Gemini Enterprise and the Agent Development Kit (ADK) / Agent2Agent protocol become the flagship Cloud AI product line,

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Cloud AI Research	Tomas Pfister	Self-described: 'groundbreaking research with the goal to infuse AI into Google Cloud prod	TabNet (AAAI 2021); Distilling step-by-step (2023)	~20 named researchers on the team page	A
Vertex AI platform & Gemini Enterprise (product engineering)	Saurabh Tiwary (VP/GM); Raj Pai (VP, Product Management, Cloud AI)	Model Garden, Agent Builder / ADK, tuning & serving, Gemini Enterprise, Kaggle, Colab	Vertex AI (2021); Agent Development Kit / A2A protocol (2025)	unknown (product org, hundreds+)	C
AI Infrastructure (TPU / systems, shared with Google Research)	Amin Vahdat	Custom silicon, datacenter, network and supply chain for AI serving and training	TPU v4 with optical circuit switches (ISCA 2023); Jupiter Rising (2015)	unknown	A

Name	Title	Focus	Notable work	Links	Tier
Amin Vahdat	Google Fellow and Chief Technologist for AI Infrastructure	TPUs, datacenter networking for AI	Jupiter Rising (2015); TPU v4 optical circuit switching (2023)	org · site	A
Chen-Yu Lee	Staff Research Scientist, Cloud AI Research	Agents, distillation, document AI	Deeply-Supervised Nets (AISTATS 2015); Distilling step-by-step (2023); Chain-of-Table (2024)	org	B
Hamid Palangi	Research Scientist, Cloud AI Research (ex-Microsoft Research)	Multimodal reasoning, agent evaluation	Deep Sentence Embedding Using LSTM (2016); Multimodal reasoning benchmarks (2023-2025)	org	B
Jinsung Yoon	Research Scientist, Cloud AI Research	Tabular/time-series ML, synthetic data	GAIN: Missing Data Imputation using GANs (ICML 2018); TimeGAN (2019)	org	B
Raj Pai	Vice President, Product Management, Cloud AI (ex-AWS, led Amazon E	Cloud AI product management		—	C
Saurabh Tiwary	VP & General Manager, Cloud AI, Google	Vertex AI, Gemini Enterprise, Kaggle, Colab		—	C
Sercan O. Arik	Research Scientist / Manager, Cloud AI Research	Tabular deep learning, time series, agents	TabNet (2021); Temporal Fusion Transformers (2021); Deep Voice (2017)	org	A
Thomas Kurian	CEO, Google Cloud	Runs Google Cloud		org	A
Tomas Pfister	Head of Cloud AI Research, Google Cloud	Agentic AI, tabular ML, distillation	TabNet (2021); Distilling step-by-step (2023); MLE-STAR (2025)	org · site	A

Meta3 orgs · 108 people19% official▶

▶Fundamental AI Research (FAIR), a group within Meta Superintelligence LabsRob Fergus39

2013-12 Facebook AI Research (FAIR) founded; Yann LeCun recruited from NYU as director. Rob Fergus co-founds it with him (Sept 2 · 2018-01 LeCun steps down as FAIR director to become Chief AI Scientist; Jerome Pesenti takes over Meta's AI organisation. · 2021-10 FAIR's expansion renamed 'Fundamental AI Research' after the Facebook-to-Meta rebrand. · 2023-2024 Peak open-science output: Llama/Llama 2, SAM, DINOv2, Code Llama, SAM 2, V-JEPA, ESMFold-era protein work spun out. · 2025-04 Joelle Pineau, VP of AI Research and head of FAIR, announces she is leaving Meta; last day 2025-05-30. She becomes Chief · 2025-05-08 Rob Fergus - FAIR co-founder, returning from Google DeepMind - is appointed head of FAIR. · 2025-06/08 FAIR is folded into Meta Superintelligence Labs as one of its four groups, alongside TBD Lab, Products & Applied Res · 2025-08-13 DINOv3 released - self-supervised vision backbones, 26 named authors.

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Perception / self-supervised vision (Paris + Menlo Park)	Piotr Bojanowski / Patrick Labatut (senior ICs; no confirmed named manager)	Self-supervised image representation learning, foundation vision backbones, dense features	DINO (2021); DINOv2 (2023)	~25-30 (from DINOv3 author list)	D
World models / JEPA (Montreal + Menlo Park + NYC)	Nicolas Ballas / Michael Rabbat (senior; previously under LeCun)	Joint-embedding predictive architectures, video world models, planning and robotics from v	I-JEPA (2023); V-JEPA (2024)	~30 (from V-JEPA 2 author list)	D
FAIR CodeGen	Gabriel Synnaeve	Code generation, code world models, neural compilers, RL for programming	Code Llama (2023); CWM / Code World Model (2025)	~50 named contributors on CWM	D
Audio / speech	Jade Copet / Yossi Adi (senior ICs)	Neural audio codecs, music and speech generation, speech representation learning	wav2vec 2.0 (2020); EnCodec (2022)	Unknown	D
Segmentation / video perception	Christoph Feichtenhofer (senior IC)	Promptable segmentation, video understanding	SlowFast (2019); SAM (2023)	Unknown	D

Name	Title	Focus	Notable work	Links	Tier
Adrien Bardes	Research Scientist, Paris	Non-contrastive SSL	VICReg (2022); V-JEPA (2024); V-JEPA 2 (2025)	—	D
Andrea Vedaldi	Research Scientist (joint with University of Oxford)	3D vision, visual geometry	VLFeat (2008); Co-tracker (2023); DINOv3 (2025)	site	D
Camille Couprie	Research Scientist, Paris	Vision, geospatial ML	DINOv3 (2025)	—	D
Chris Cummins	Research Scientist	ML for compilers	CompilerGym (2022); LLM Compiler (2024); CWM (2025)	—	D
Christoph Feichtenhofer	Research Scientist Manager	Video understanding, segmentation	SlowFast (2019); SAM 2 (2024)	site	C
Daniel Haziza	Research Engineer	Efficient attention kernels	xFormers (2022); DINOv3 (2025); CWM (2025)	—	D
Fabian Gloeckle	Research Scientist, Paris	Code LLMs, multi-token prediction	Multi-token prediction (2024); CWM (2025); DecompRL (2026)	—	D
Federico Baldassarre	Research Scientist, Paris	Self-supervised vision	DINOv3 (2025)	—	D
Francisco Massa	Research Engineer	Vision systems, kernels	DETR (2020); xFormers (2022); DINOv3 (2025)	—	D
Francois Fleuret	Research Scientist (joint with University of Geneva)	Deep learning, efficiency	The Little Book of Deep Learning (2023); CWM (2025)	site	D
Franziska Meier	Research Scientist Manager	Robot learning	V-JEPA 2 (2025)	—	D
Gabriel Synnaeve	Research Director, FAIR CodeGen, Paris	Code generation, RL	Code Llama (2023); CWM / Code World Model (2025); DecompRL (2026)	site	D
Herve Jegou	Research Director, Paris	Similarity search, vision	FAISS (2017); DeiT (2021); DINOv3 (2025)	—	D
Hugh Leather	Research Scientist	ML for compilers	CompilerGym (2022); LLM Compiler (2024); CWM (2025)	—	D
Huy V. Vo	Research Scientist, Paris	Object discovery, data curation	DINOv3 (2025)	—	D
Jacob Kahn	Research Engineer	Speech/ML systems	Flashlight / wav2letter++ (2018); CWM (2025)	—	D
Jade Copet	Research Manager, Paris	Audio generation, code	MusicGen / AudioCraft (2023); CWM (2025)	—	D
Joelle Pineau	FORMER VP of AI Research, head of FAIR 2023-2025 - last day 2025-0	RL, health AI, open science	Reproducibility checklist (2018); FAIR open-science / ParlAI programme	site	A
Jonas Gehring	Research Scientist, Paris	Sequence models, RL for code	ConvS2S (2017); CWM (2025)	—	D
Julien Mairal	Research Scientist (joint with Inria Grenoble)	Optimization, SSL vision	SPAMS sparse coding toolbox (2010); DINOv3 (2025)	site	D
Koustuv Sinha	Research Scientist, Montreal	Reasoning, reproducibility, video	V-JEPA 2 (2025)	—	D
Marc Szafraniec	Research Engineer	SSL vision, video	DINOv3 (2025); V-JEPA 2 (2025)	—	D
Maxime Oquab	Research Scientist, Paris	Self-supervised vision	DINOv2 (2023); DINOv3 (2025)	—	D
Maximilian Seitzer	Research Scientist	Object-centric / SSL vision	DINOv3 (2025)	—	D
Michael Rabbat	Research Scientist Manager, Montreal	Distributed optimization, SSL	V-JEPA 2 (2025); I-JEPA (2023)	—	D
Mido Assran	Research Scientist Manager, Montreal	World models, SSL	I-JEPA (2023); V-JEPA 2 (2025)	site	D
Naila Murray	Research Manager	Computer vision	CWM (2025)	—	D
Nicolas Ballas	Research Scientist, Montreal	Self-supervised video models	I-JEPA (2023); V-JEPA (2024); V-JEPA 2 (2025)	—	D
Oriane Simeoni	Research Scientist, Paris	Unsupervised object discovery	LOST (2021); DINOv3 (2025)	—	D
Patrick Labatut	Research Engineering Manager, Paris	SSL vision engineering	DINOv2 (2023); DINOv3 (2025); V-JEPA 2 (2025)	—	D
Peter O'Hearn	Research Scientist (joint with UCL)	Program analysis, verification	Separation logic (2001); Infer static analyser (2015); CWM (2025)	—	D
Piotr Bojanowski	Research Scientist / Manager, Paris	Self-supervised vision	fastText (2017); DINOv2 (2023); DINOv3 (2025)	—	D
Quentin Garrido	Research Scientist, Paris	SSL theory, video	V-JEPA 2 (2025)	—	D
Rob Fergus	VP of AI Research; head of FAIR (appointed 2025-05-08)	Research direction, deep learning	ZFNet (2013); Intriguing properties of neural networks (2014)	site	A
Taco Cohen	Research Scientist	Equivariance, code world models	Group Equivariant CNNs (2016); CWM (2025); DecompRL (2026)	site	D
Timothee Darcet	Research Scientist / PhD, Paris	Vision transformer representations	Vision Transformers Need Registers (2023); DINOv2 (2023); DINOv3 (2025)	—	D
Vasil Khalidov	Research Engineer	SSL vision, video	DINOv3 (2025); V-JEPA 2 (2025)	—	D
Yann LeCun	FORMER VP & Chief AI Scientist, FAIR founder - departed 2025-11	World models, SSL	Convolutional networks / LeNet (1989-1998); I-JEPA (2023); V-JEPA 2 (2025)	site	A
Yossi Adi	Research Scientist (joint with Hebrew University)	Speech and audio generation	EnCodec (2022); AudioCraft (2023); CWM (2025)	—	D

▶Meta Superintelligence LabsAlexandr Wang32

2013-12 Facebook AI Research (FAIR) founded; Yann LeCun hired from NYU to lead it. · 2025-04 Llama 4 (Scout/Maverick) released 2025-04-05; internal dissatisfaction with it and the delay of the larger 'Behemot · 2025-05-08 Rob Fergus appointed to lead FAIR, replacing Joelle Pineau (who steps down 2025-05-30). Fergus returns from Google DeepM · 2025-06-12 Meta announces ~$14.3B investment for a 49% non-voting stake in Scale AI; Alexandr Wang joins Meta. · 2025-06-30 Meta Superintelligence Labs (MSL) formally created; Alexandr Wang named Chief AI Officer, Nat Friedman co-leads. Interna · 2025-07 Daniel Gross leaves Safe Superintelligence Inc. to join MSL. Shengjia Zhao (ex-OpenAI) named MSL Chief Scientist (announ · 2025-08 MSL restructured into four groups: TBD Lab, FAIR, Products & Applied Research, and MSL Infra. · 2025-08-14 Joelle Pineau, ex-head of FAIR, named Chief AI Officer of Cohere.

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
TBD Lab	Alexandr Wang	Frontier/foundation model training - the elite team that trains Meta's flagship LLMs. The	Muse Spark (2026-04); Muse Spark 1.1 (2026-07)	'A few dozen researchers and engineers' - Meta CFO Susan Li, Sept 2025. Explicitly exempted from the Oct 2025 cuts and still hiring while the rest of MSL was frozen.	B
FAIR (Fundamental AI Research)	Rob Fergus	Long-horizon open research: self-supervised visual representations, world models, speech/a	DINOv3 (2025); V-JEPA 2 (2025)	Several hundred; materially reduced by the Oct 2025 cuts	B
Products & Applied Research	Nat Friedman	Consumer integration - Meta AI assistant, AI in Facebook/Instagram/WhatsApp, Ray-Ban glass	Meta AI assistant (2024-2026); Meta Model API (2026)	Largest of the four groups (unquantified)	B
MSL Infra	Aparna Ramani	Training and serving infrastructure, compilers, GPU fleet. NOTE: as of Jan 2026 the larges	Meta AI training infrastructure / Prometheus and Hyperion clusters (2025-2026)	Unknown	B

Name	Title	Focus	Notable work	Links	Tier
Ahmad Al-Dahle	VP, GenAI (pre-MSL head of the Llama/GenAI organisation)	Generative AI products/models	Llama 3 (2024); Llama 4 (2025)	—	E
Alexander Kolesnikov	Researcher, TBD Lab (joined 2025 from OpenAI Zurich; previously Go	Vision-language pretraining	Vision Transformer / ViT (2020); Big Transfer / BiT (2020)	—	C
Alexandr Wang	Chief AI Officer, Meta; head of Meta Superintelligence Labs; lead	Frontier model strategy, org lead	Scale AI (2016, co-founder/CEO)	—	A
Andrew Bosworth	CTO, Meta; head of Reality Labs (NOT an MSL role)	Hardware, AR/VR, AI devices	Ray-Ban Meta smart glasses (2023-2025); Meta Ray-Ban Display (2025)	—	B
Andrew Tulloch	Engineer/researcher (joined Meta 2025-10 from Thinking Machines La	Training systems, model efficiency	PyTorch mobile/quantization work (2018-2021)	—	C
Anton Bakhtin	Researcher, TBD Lab (joined 2025 from Anthropic; previously FAIR)	RL, planning, LLM training	CICERO (2022); Diplomacy no-press agent (2021)	—	C
Aparna Ramani	VP of Engineering; head of MSL Infra	AI infrastructure, data platforms		—	B
Avi Verma	FORMER researcher - joined mid-2025 from OpenAI, returned to OpenA	LLM research		—	C
Chaya Nayak	FORMER Director of Product Management, GenAI - left for OpenAI, Au	GenAI product		—	C
Daniel Gross	VP of Product, Meta; co-lead of Meta Compute (from 2026-01). Joine	Compute capacity strategy, supplier partnerships	Safe Superintelligence Inc. (2024, co-founder); NFDG venture fund (2022)	—	B
Ethan Knight	FORMER researcher - joined mid-2025 from OpenAI, returned to OpenA	LLM research		—	C
Hongyu Ren	Researcher, TBD Lab (joined 2025 from OpenAI)	Post-training, reasoning models	OpenAI o1-mini (2024, contributor)	—	C
Huiwen Chang	Researcher, TBD Lab (joined 2025 from OpenAI)	Image generation	MaskGIT (2022); Muse text-to-image (2023)	—	C
Jack Rae	Researcher, TBD Lab (joined 2025 from Google DeepMind)	Reasoning, pretraining	Gopher (2021); Chinchilla (2022, co-author)	—	C
Ji Lin	Researcher, TBD Lab (joined 2025 from OpenAI)	Efficient inference, multimodal	AWQ (2023); Temporal Shift Module / TSM (2019)	—	C
Jiahui Yu	Researcher, TBD Lab (joined 2025 from OpenAI)	Multimodal perception	CoCa (2022); Parti (2022)	—	C
Joel Pobar	Engineer, MSL Infra (joined 2025 from Anthropic)	Inference/runtime infrastructure	HHVM (2010s, Facebook)	—	C
Joelle Pineau	FORMER VP of AI Research / head of FAIR - announced departure Apri	RL, reproducibility, health AI	ParlAI/FAIR open science program (2017-2024); Reproducibility checklist (2018)	site	A
Johan Schalkwyk	Researcher (joined 2025 from Sesame AI; previously Google)	Speech recognition, voice	Google Voice Search / speech stack (2010s)	—	C
Lucas Beyer	Researcher, TBD Lab (joined 2025 from OpenAI Zurich; previously Go	Vision-language pretraining	Vision Transformer / ViT (2020); SigLIP (2023)	—	C
Matt Deitke	Researcher (joined 2025 from Allen Institute for AI)	Multimodal models, embodied AI	Molmo (2024); ObjaverseXL (2023)	—	C
Nat Friedman	Head of Products & Applied Research, MSL (co-lead of MSL with Wang	Consumer AI products	GitHub (2018-2021, CEO); NFDG venture fund (2022)	site	A
Pei Sun	Researcher, TBD Lab (joined 2025 from Google DeepMind/Waymo)	Model training, perception	Waymo Open Dataset (2020)	—	C
Rishabh Agarwal	FORMER researcher, TBD Lab - joined 2025, departed ~2025-10 for Pe	RL, distillation, reasoning	Generalized Policy Improvement / on-policy distillation work (2023-2024)	—	C
Rob Fergus	VP of AI Research; head of FAIR (appointed 2025-05-08)	Fundamental research leadership	ZFNet (2013); Deconvolutional visualisation of CNNs (2014)	site	A
Ruoming Pang	Distinguished/senior researcher, TBD Lab (joined 2025-07 from Appl	Foundation model pretraining	Apple Intelligence Foundation Models (2024); GShard (2020)	—	C
Santosh Janardhan	Head of Global Infrastructure, Meta; co-lead of Meta Compute (from	Data centres, silicon, infra software		—	B
Shengjia Zhao	Chief Scientist, Meta Superintelligence Labs (since 2025-07)	Frontier model research direction	ChatGPT (2022); GPT-4 (2023)	—	B
Shuchao Bi	Researcher, TBD Lab (joined 2025 from OpenAI)	Multimodal post-training, RL		—	C
Trapit Bansal	Researcher, TBD Lab (joined 2025 from OpenAI)	RL for reasoning	OpenAI o1 (2024, contributor)	—	C
Xiaohua Zhai	Researcher, TBD Lab (joined 2025 from OpenAI Zurich; previously Go	Vision-language pretraining, scaling	SigLIP (2023); Scaling Vision Transformers (2022)	—	C
Yann LeCun	FORMER VP & Chief AI Scientist - departed November 2025	World models, self-supervised learning	Convolutional networks / LeNet (1989-1998); I-JEPA (2023); V-JEPA 2 (2025)	site	A

▶Meta Reality Labs Research (formerly Oculus Research / Facebook Reality Labs Research)Michael Abrash37

2014-03 Michael Abrash joins Oculus (then newly acquired by Facebook) as Chief Scientist and founds Oculus Research, the lab tha · 2015-01 Yaser Sheikh joins from CMU as a VP and founds the Meta Reality Lab in Pittsburgh, home of the Codec Avatars program. · 2019-09 Facebook acquires CTRL-labs (Thomas Reardon, Patrick Kaifosh, Adam Berenzweig); the team becomes the neuromotor/sEMG wri · 2020-09 Project Aria announced at Facebook Connect — research-only sensor glasses, run by Richard Newcombe's Surreal team, · 2023-11 Ego-Exo4D released — a joint effort of Meta FAIR (Kristen Grauman), Project Aria (RL-R) and 15 university partners. This · 2024-09 Orion AR glasses prototype revealed at Connect 2024 — the flagship demo of RL-R display/optics, sEMG wristband and conte · 2025-02 Aria Gen 2 announced; research kit applications opened to external researchers during 2025. · 2025-07-23 'A generic non-invasive neuromotor interface for human-computer interaction' published in Nature by the CTRL-l

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Surreal / Egocentric Machine Perception & Spatial AI (Project Aria)	Richard Newcombe (VP, Research Science) — Jakob Julian Engel is Director of Research under him	Egocentric sensing, SLAM/VIO, 3D scene understanding, always-on contextual AI on glasses;	Project Aria (2020); Aria Gen 2 + Aria Gen 2 Pilot Dataset (2025)	largest single RL-R research pillar; exact headcount not public	A
Codec Avatars Lab (Pittsburgh)	Sofien Bouaziz (Senior Director, Meta — Codec Avatars). Founded and led until 2025 by Yaser Sheikh (VP), who has left.	Photorealistic driveable human avatars for telepresence — face, full body, hair, relightin	Codec Avatars (2019); Gaussian / Relightable Gaussian Codec Avatars (2024-2025)	Pittsburgh site remains staffed (Alexander Richard's page still reads 'Meta Reality Labs, Pittsburgh' in 2026); size not public	A
Neuromotor Interfaces (CTRL-labs at Reality Labs)	Thomas Reardon (VP/Director, Neuromotor Interfaces) and Patrick Kaifosh (Research Science Director)	Non-invasive surface-EMG wristband decoding motor-unit activity into computer input; gener	A generic non-invasive neuromotor interface for human-computer interaction, Nature (2025); Meta Neural Band, shipped with Meta Ray-Ban Display (2025)	not public	A
Display Systems Research (optics & displays)	Douglas Lanman (Senior Director, Display Systems Research)	Near-eye displays, holographic and varifocal optics, waveguides, passthrough rendering, pe	Holocake / holographic thin VR optics prototypes (2020-2022); Butterscotch Varifocal retinal-resolution prototype (2022)	not public	C
Audio and Haptics research	not individually confirmed in this session	Spatial/personalized audio for AR-VR, acoustic simulation, HRTF personalization, hearing a	Project Aria audio-visual capture; Meta Neural Band haptics (2025)	not public	E

Name	Title	Focus	Notable work	Links	Tier
Alexander Richard	AI Research Scientist, Meta Reality Labs, Pittsburgh	Audio-driven avatars, speech-to-face	MeshTalk (2021); Embody 3D (2025); Audio Driven Real-Time Facial Animation for Social Telepresence (2026)	site	A
Andrew Berkovich	Hardware/sensor research lead, Project Aria	Image sensors, low-power vision hardware	Aria Gen 2 Pilot Dataset (2025)	—	D
Andrew Bosworth	Chief Technology Officer, Meta; head of Reality Labs	Runs all of Reality Labs		site	A
Armen Avetisyan	Research Scientist, Surreal / Project Aria	Structured 3D reconstruction	Scan2CAD (2019); SceneScript (2024)	—	D
Carl Ren	Director / senior lead, Project Aria hardware and research platfor	Aria glasses platform	Project Aria (2020); Aria Gen 2 Pilot Dataset (2025)	—	D
Chen Cao	Research Scientist, Codec Avatars	Real-time face avatars from phone scans	Authentic Volumetric Avatars from a Phone Scan (2022); LUCAS (2025); FiCA (2026)	—	D
Chen Kong	Research Scientist, Project Aria	Aria sensor/dataset pipeline	Aria Gen 2 Pilot Dataset (2025)	—	D
Cheng Peng	Research Scientist, Project Aria	Egocentric 3D reconstruction	EFM3D (2024); Aria Gen 2 Pilot Dataset (2025)	—	D
Christian Richardt	Research Scientist, Meta Reality Labs	Novel-view synthesis, neural rendering	URAvatar (2024)	site	C
Christopher Xie	Research Scientist, Surreal / Project Aria	3D scene layout, structured scene models	SceneScript (2024); Human-in-the-Loop Local Corrections of 3D Scene Layouts (2025)	—	D
Dejan Markovic	Research Scientist, audio for avatars	Spatial audio, audio-visual telepresence	Implicit HRTF Modeling (2022); Embody 3D (2025)	—	D
Douglas Lanman	Senior Director, Display Systems Research	Near-eye displays, computational optics	Holocake holographic optics (2022); Butterscotch Varifocal (2022)	—	C
Evonne Ng	Research Scientist, Codec Avatars	Conversational motion and gesture generation	Learning to Listen (2022); From Audio to Photoreal Embodiment (2024); Embody 3D (2025)	—	D
Fabian Prada	Research Scientist, Codec Avatars	Clothing/body capture and rendering	Relightable Full-Body Gaussian Codec Avatars (2025); Embody 3D (2025)	—	D
Giljoo Nam	Research Scientist, Codec Avatars	Hair capture, appearance modeling	Strand-accurate Multi-view Hair Capture (2019); Gaussian Pixel Codec Avatars (2025); Large-scale Codec Avatars (2026)	—	D
Jakob Julian Engel	Director of Research, Meta Reality Labs — egocentric machine perce	SLAM, spatial AI, Aria machine perception	LSD-SLAM (2014); Direct Sparse Odometry / DSO (2016); SceneScript (2024)	site	A
Jason Saragih	Research Scientist / Research lead, Codec Avatars	Driveable photoreal face avatars	Deep Appearance Models for Face Rendering (2018); Pixel Codec Avatars (2021); Relightable Full-Body Gaussian Codec Avatars (2025)	—	D
Julian Straub	Research Scientist, Surreal / Project Aria	3D scene understanding, mapping	SceneScript-related layout infilling (2025); Aria Gen 2 Pilot Dataset (2025)	—	D
Julieta Martinez	Research Scientist, Reality Labs Research (joined 2022)	3D human pose, avatar pretraining	A simple yet effective baseline for 3d human pose estimation (2017); Large-scale Codec Avatars (2026)	site	A
Junxuan Li	Research Scientist, Codec Avatars	Relightable neural avatars	URAvatar (2024); Relightable Full-Body Gaussian Codec Avatars (2025); Large-scale Codec Avatars (2026)	—	D
Kristen Grauman	Research Director, Meta FAIR (NOT RL-R) — UT Austin professor	Egocentric video understanding	Ego4D (2022); Ego-Exo4D (2024)	org · site	A
Michael Abrash	Chief Scientist, Reality Labs	Sets RL-R research agenda	Reality Labs Research long-range AR/VR research agenda (2016-2025 Connect keynotes)	org	A
Michael Zollhoefer (Zollhöfer)	Research Scientist / Director-level lead, Codec Avatars	Neural rendering, 3D reconstruction	Deep Video Portraits (2018); State of the Art on Neural Rendering (2020); Embody 3D (2025)	—	D
Mingfei Yan	Senior lead, Reality Labs Research (Aria / machine perception)	Egocentric perception, on-device models	Aria Gen 2 Pilot Dataset (2025)	—	D
Patrick Kaifosh	Research Science Director, Reality Labs Research (CTRL-labs at Rea	sEMG decoding, neuromotor modelling	A generic non-invasive neuromotor interface, Nature (2025)	—	A
Rawal Khirodkar	Research Scientist, Meta	Multi-person 3D human perception	Sapiens (2024); URAvatar (2024); Large-scale Codec Avatars (2026)	site	A
Richard Newcombe	VP, Research Science, Reality Labs Research (leads the Surreal tea	Egocentric perception, SLAM, spatial AI	KinectFusion (2011); DTAM (2011); Project Aria (2020)	org · site	A
Shunsuke Saito	Research Scientist, Meta Codec Avatars Lab	Neural human reconstruction, relightable avatars	PIFu (2019); PIFuHD (2020); Relightable Gaussian Codec Avatars (2024)	site	A
Sofien Bouaziz	Senior Director, Meta — leads the Codec Avatars organization	Photoreal avatars, 3D face/body modeling	GenCA (2024); Large-scale Codec Avatars (2026)	site	A
Steven Krenn	Research Engineer / capture lead, Codec Avatars	Multi-view capture systems	Embody 3D (2025); Goliath / full-body capture datasets (2024)	—	D
Thomas R. Reardon	VP / Director, Neuromotor Interfaces (co-founder & former CEO of C	sEMG neural interfaces	A generic non-invasive neuromotor interface, Nature (2025); Meta Neural Band (2025)	—	A
Timur Bagautdinov	Research Scientist, Codec Avatars	Neural avatar representations	Driving-Signal Aware Full-Body Avatars (2021); Relightable Full-Body Gaussian Codec Avatars (2025); FiCA (2026)	—	D
Tomas Simon	Research Scientist, Reality Labs Research (Pittsburgh)	Hand/body capture, neural avatars	Hand Keypoint Detection in Single Images using Multiview Bootstrapping (2017); OpenPose (2017); Gaussian Pixel Codec Avatars (2025)	site	D
Vasileios Balntas	Research Scientist / manager, Surreal	Local features, relocalization, scene understanding	HPatches (2017); SceneScript (2024)	—	D
Vasu Agrawal	Research Engineer/Scientist, Codec Avatars	Capture infrastructure, full-body avatars	Relightable Full-Body Gaussian Codec Avatars (2025); Embody 3D (2025)	—	D
Xiaqing Pan	Research Scientist, Project Aria	Aria datasets, digital twins	Aria Digital Twin (2023); Aria Gen 2 Pilot Dataset (2025)	—	D
Yaser Sheikh	FORMER VP, Meta (2015-2025); founder of the Meta Reality Lab in Pi	Photoreal telepresence (departed)	OpenPose (2017); Panoptic Studio (2015); Codec Avatars (2019)	site	A

Apple1 org · 34 people11% official▶

▶Apple Machine Learning Research (AIML) and the Apple Foundation Models (AFM) team, now inside the AI group under Craig Federighi's Software Engineering organizationAmar Subramanya34

2018-04 John Giannandrea hired from Google (where he ran Search + AI) as Apple's chief of Machine Learning and AI Strategy; · 2024-06 Apple Intelligence announced at WWDC24; 'Introducing Apple's On-Device and Server Foundation Models' publ · 2025-03 FIRST SIDELINING: Siri is removed from Giannandrea's command and handed to Mike Rockwell (creator of Vision Pro), w · 2025-07 Ruoming Pang, head of the Apple Foundation Models team, leaves for Meta Superintelligence Labs (reported package >$20 · 2025-07 Three more AFM researchers follow Pang to Meta MSL within weeks: Tom Gunter, Mark Lee and Bowen Zhang (Bowen Zhang repor · 2025-08 Departures widen beyond AFM: Frank Chu (AI lead for cloud infrastructure, training and search) and Jian Zhang (lead AI r · 2025-10 Ke Yang, only weeks after being put in charge of Apple's AKI (Answers, Knowledge and Information) team building a C · 2025-12-01 OFFICIAL: Apple announces John Giannandrea is stepping down as SVP of Machine Learning and AI Strategy, staying as an ad

Groups inside this org — leads are inferred unless tier A

Group	Lead	Focus	Flagship	Size	Tier
Apple Foundation Models (AFM)	Zhifeng Chen	Pre-training, post-training and deployment of the AFM/ADM model family for Apple Intellige	AFM 3 model family: AFM 3 Core / Core Advanced / Cloud / Cloud Pro + ADM 3 Cloud (2026); Apple Intelligence Foundation Language Models, PT-MoE server architecture (2025)	~100 (reported scale before the 2025 departures; not confirmed by Apple)	B
Machine Learning Research (AIML research), publishing arm at machinelearning.apple.com	Samy Bengio (Senior Director of AI and Machine Learning Research)	Open academic publication across the site's 11 declared research areas; conference sponsor	ParaRNN: Large-Scale Nonlinear RNNs, Trainable in Parallel (2026); GSM-Symbolic (2024) and The Illusion of Thinking (2025)	several hundred publishing authors (1,130 papers listed on the site; 459 of them dated 2025-2026)	A
Research area: Methods and Algorithms		Largest declared area - optimization, generative modelling, efficiency, learning theory, o	TarFlow / Normalizing Flows are Capable Generative Models (2024); How to Scale Your EMA (2023)	552 of 1,130 listed papers	A
Research area: Speech and Natural Language Processing		ASR, TTS/expressive voices, LLM post-training, dialogue, Siri language understanding	Siri Expressive Voices / decoupled temporal-depth diffusion audio synthesis (2026); slimIPL and Flashlight/wav2letter ASR line (2021)	464 papers	A
Research area: Computer Vision		On-device vision backbones, multimodal LLMs, 3D/generative imaging, depth	Ferret / Ferret-UI (2023-2024); Depth Pro (2024)	298 papers	A
Research area: Human-Computer Interaction		UI understanding and agents, accessibility, interpretability and ML tooling for practition	Talaria: model optimization visualization (2024); Screen Recognition (2021)	106 papers	A
Research area: Privacy (differential privacy / private learning)		Differential privacy theory and deployment, private federated statistics, memorization	Deep Learning with Differential Privacy lineage (2016); Privacy amplification by shuffling / by iteration (2018-2019)	73 papers	A
Other declared research areas		Knowledge Bases and Search (62); Data Science and Annotation (62); Tools, Platforms, Frame	MLX (2023); Apple Heart/Health foundation model work (2025)	see counts	A
Internal AIML topic taxonomy (as exposed by the Apple Scholars in AIML PhD fellowship)		The 2026 Apple Scholars cohort is sorted into Apple's own internal research-area names, a		~19 scholars in the 2026 cohort; the program runs annually since 2020	A
Siri / Apple Intelligence engineering (NOT part of AIML research)	Mike Rockwell (VP)	Siri product engineering; moved out of Giannandrea's org in March 2025 and under Craig Fed	Rebuilt Siri shipping on AFM 3 (2026)	unknown	B
AKI - Answers, Knowledge and Information (AI web search)	vacant/unclear after Ke Yang's departure; work reported to be gravitating to Eddy Cue's Services org	ChatGPT-like AI answer engine and world knowledge for Siri/Spotlight/Safari		unknown	C

Name	Title	Focus	Notable work	Links	Tier
Afshin Dehghan	Senior manager, Computer Vision	vision for Apple Intelligence	MODUS (2026); VideoFlexTok (2026)	—	D
Amar Subramanya	Vice President of AI	runs Apple's AI org		—	A
Benoit Dupin	Senior Director of Machine Learning and AI	ML infrastructure, search partnerships		—	C
Craig Federighi	Senior Vice President, Software Engineering	owns AI and Siri		org	A
Dominik Moritz	Research scientist, data visualization	visualization, model analysis tools	Vega-Lite (2017); Draco (2019); Talaria (2024)	site	D
Eddy Cue	Senior Vice President, Services (and Health)	search deals, Google Gemini partnership		org	A
Emmanuel Abbe	Research scientist at Apple (also professor at EPFL)	learning theory, generalization	Exact recovery in the stochastic block model (2016); Generalization on the Unseen (2023)	site	D
Fred Hohman	Research scientist, HCI / ML interpretability and tooling	interactive ML tooling, model viz	Summit (2019); Talaria (2024)	site	D
Hilal Asi	Research scientist (private optimization)	differentially private optimization	Private Adaptive Gradient Methods (2021)	site	D
Iman Mirzadeh	Research scientist (LLM reasoning)	reasoning evaluation, distillation	Teacher Assistant Knowledge Distillation (2020); GSM-Symbolic (2024); The Illusion of Thinking (2025)	site	D
Jeffrey Nichols	Research lead, Human-Computer Interaction	UI understanding, screen agents	Screen Recognition (2021); Ferret-UI (2024)	—	D
Jiatao Gu	Research scientist (generative modelling)	diffusion, 3D generation, NAR decoding	Non-Autoregressive Neural Machine Translation (2018); NerfDiff (2023); TarFlow (2024)	site	D
Josh Susskind (Joshua M. Susskind)	Director / senior research lead, Machine Learning Research	generative models, vision, learning	An Attention Free Transformer (2021); GAUDI (2022); TarFlow / Normalizing Flows are Capable Generative Models (2024)	—	D
Kim Vorrath	Vice President, Program Management (moved into the Siri/AI group)	shipping discipline for Siri		—	C
Kunal Talwar	Research scientist (differential privacy, optimization)	differential privacy, private learning	Deep Learning with Differential Privacy (2016); Amplification by Shuffling (2019)	site	D
Luca Zappella	Director / senior manager, Machine Learning Research	health and behavioural signals ML	ParaRNN (2026); Uncertainty Quantification for LLM Function-Calling (2026)	—	D
Marco Cuturi	Research scientist (optimal transport)	optimal transport, generative flows	Sinkhorn Distances (2013); Soft-DTW (2017); OTT-JAX (2022)	site	D
Mehrdad Farajtabar	Research scientist (LLM reasoning, efficiency)	LLM reasoning limits, on-device LLMs	LLM in a flash (2023); GSM-Symbolic (2024); The Illusion of Thinking (2025)	site	D
Mike Rockwell	Vice President; leads Siri (and Vision Products Group)	Siri engineering leadership	Apple Vision Pro (2024)	—	B
Minsik Cho	Research scientist (on-device efficiency)	LLM compression and on-device inference	LLM in a flash (2023); eDKM (2023)	—	D
Navdeep Jaitly	Research scientist (sequence models, speech)	sequence modelling, speech, biology	Pointer Networks (2015); Adversarial Autoencoders (2015)	—	D
Oncel Tuzel	Senior research lead, Computer Vision	on-device vision, 3D, efficiency	Region Covariance (2006); MobileOne (2023)	—	D
Parikshit Gopalan	Research scientist (theory, calibration)	omniprediction, multicalibration	Omnipredictors (2021); Locally Repairable Codes (2012)	site	D
Peter Grasch	Senior engineering leader, Siri / Apple Intelligence	Siri modelling and product ML	MM1.5 (2025); DeepMMSearch-R1 (2026)	—	D
Pierre Ablin	Research scientist (optimization)	optimization, training dynamics	Picard / faster ICA by preconditioning (2018); How to Scale Your EMA (2023)	site	D
Sabih Khan	Chief Operating Officer	AI infrastructure and compute		org	A
Samy Bengio	Senior Director of AI and Machine Learning Research	runs Apple's academic research arm	Torch (2002); Scheduled Sampling (2015); Understanding deep learning requires rethinking generalization (2017)	site	C
Sinead Williamson	Research scientist (Bayesian ML, uncertainty)	Bayesian nonparametrics, uncertainty	Trained on Tokens, Calibrated on Concepts (2026); Uncertainty Quantification for LLM Function-Calling (2026)	site	D
Tatiana Likhomanenko	Research scientist (speech recognition)	ASR, semi-supervised speech	wav2letter++ / Flashlight (2018); slimIPL (2021)	site	D
Vitaly Feldman	Research scientist (privacy and learning theory)	memorization, private optimization	Does Learning Require Memorization? (2020); Privacy Amplification by Iteration (2018)	site	D
Yinfei Yang	Research lead, multimodal / vision-language	multimodal foundation models	MM1 (2024); Universal Sentence Encoder (2018); ALIGN (2021)	site	D
Yizhe Zhang	Research scientist (NLP / LLMs)	text generation, LLM post-training	DialoGPT (2020)	site	D
Zhe Gan	Research scientist / manager, multimodal foundation models	multimodal LLMs, vision-language	MM1 (2024); Ferret (2023); VILLA (2020)	site	D
Zhifeng Chen	Leads the Apple Foundation Models team (senior distinguished engin	foundation model training at scale	TensorFlow (2016); GPipe (2019); GShard (2020)	—	B

Tier A official roster or self-described · B strong inference · C single press report · D paper author list · E weak. Company chips and tier chips both filter; indented rows are groups inside the lab above.

Company org search — NVIDIA, Google, Meta, Apple

Overview

The four companies