Stanford University | School

Tom Henighan works on large language model interpretability at Anthropic. He previously worked on scaling laws at OpenAI and machine learning engineering at Beehive AI, and he studied physics at Stanford after graduating from Ohio State University in 2010 with a degree in English, mathematics, and philosophy.

Anand Avati is a PhD candidate at the Stanford AI Lab. His homepage says he is the technical lead of the AI-Enabled ACP project deployed at Stanford Hospital, has served as principal instructor of Stanford's CS229 course, and previously was a distinguished engineer in Red Hat's CTO office after joining through the acquisition of Gluster, where he was a founding engineer and lead architect of GlusterFS.

Kartikeya Mangalam is a PhD student in computer vision at UC Berkeley advised by Jitendra Malik. His public homepage says he previously held a visiting researcher role at Meta AI, studied in Stanford CS, graduated summa cum laude in electrical engineering with a machine learning minor from IIT Kanpur, and works on computer vision, video understanding, and human motion analysis.

Ariana Mirian is a senior security researcher at Censys and a PhD student in computer science at UC Berkeley. Her public resume shows earlier AI/ML researcher and data scientist roles at Apple, as well as Stanford degrees in business administration and electrical engineering.

Tulsee Doshi is a Senior Director of Product Management at Google DeepMind and currently leads product for Gemini Model. She previously served as Head of Product for Responsible AI at Google and holds both an M.S. and a Ph.D. in Symbolic Systems from Stanford.

Researcher at OpenAI focused on data-centric methods for foundation models, including synthetic data and reinforcement learning. Previously a research scientist at Meta GenAI; earned BS, MS, and PhD degrees in computer science at Stanford.

AI researcher who co-created Sora at OpenAI and invented InstructPix2Pix during his PhD at Berkeley AI Research.

Member of Technical Staff at OpenAI focused on accelerating biomedical intelligence. He was previously a Research Scientist at Google DeepMind.

Jacob Steinhardt is an Associate Professor of Statistics and EECS at UC Berkeley and the founder and CEO of Transluce, a nonprofit research lab building technology to understand frontier AI systems. He previously spent a postdoctoral year at OpenAI and Open Philanthropy after completing his PhD at Stanford University with Percy Liang, and he coauthored Anthropic interpretability work such as Tracing the thoughts of a large language model.

Research leader at Google DeepMind working on language models, retrieval-augmented generation, post-training, and factuality. His homepage highlights foundational contributions including REALM, FLAN, and Gemini factuality work.

Engineer and product leader who worked on OpenAI's Applied AI team and now advises startups on AI products. He writes publicly about agents, retrieval, and evaluation on his personal site.

Research Principal at Meta Superintelligence Labs. He previously led the strategic explorations team at OpenAI and is known for foundational work on score-based diffusion models.

Aakanksha Chowdhery is an adjunct professor at Stanford and a researcher at Reflection AI working on agentic LLMs and reinforcement learning for self-improving agents. Her homepage says she previously led work on the 540B PaLM model and Gemini at Google, earlier led interdisciplinary research initiatives at Microsoft Research and Princeton University, and completed a PhD in electrical engineering at Stanford University.

Claire Cui is a Google Fellow in the Google Brain team, where she leads research on deep generalist learning, large language models, multimodal learning, and interpretable AI. During her tenure at Google she helped found AdSense for Content and co-founded Google Health Research and Medical Brain; she holds a Ph.D. in computer science from Stanford and a B.S. in computer science from Tsinghua University.

Founder and CEO of Ricursive Intelligence, a frontier AI lab targeting chip design; previously a Senior Staff Research Scientist at Google DeepMind and an early employee at Anthropic.

Research scientist at Anthropic whose public work includes AI alignment, reinforcement learning from human feedback, and model behavior.

Tyler Murray is a research scientist on Ai2's PRIOR team working on vision and multimodal models. His OpenReview profile shows previous research engineering roles at Google and Facebook and degrees from Stanford University and the University of California, Berkeley.

The Allen School lists Pang Wei Koh as an assistant professor at the University of Washington and a visiting research scientist at the Allen Institute for AI. The same page lists expertise in explainable AI, generative AI, machine learning, and natural language processing.

Research scientist at NVIDIA working on compression, efficient inference, post-training, multimodality, and evaluation for large language models. He completed a PhD in machine learning at Stanford and a master's in artificial intelligence at the University of Edinburgh.

AI researcher and former OpenAI scientist who became chief scientist of Meta Superintelligence Labs in July 2025; public academic sources also show earlier Stanford and Tsinghua training.

Works on large language model interpretability at Anthropic; previously worked on scaling laws at OpenAI and ML engineering at Beehive AI, and completed a Ph.D. in physics at Stanford.

OpenReview lists Grace Lam as a researcher at NVIDIA after prior work at Google, with study at Stanford and MIT. NVIDIA public pages connect her to Cosmos Policy for robot control and Nemotron-Cascade 2 for LLM post-training.

Vasu Singhal is an AI researcher focused on natural language processing, generative AI, and machine learning. He studied computer science at Stanford University and has worked on NLP research at FAIR.

Research scientist at Cohere Labs and PhD candidate at Stanford University focused on language models, machine learning systems, and AI safety.

Sharon Zhou is founder and CEO of Lamini and is pursuing a PhD in computer science at Stanford University. Stanford speaker pages describe her as co-director of the Generative AI for Education Hub at Stanford HAI, advised by Fei-Fei Li and Jure Leskovec, and working on generative AI topics including large language models, computer vision, and graphics.

Ana Klimovic is an assistant professor of computer science at ETH Zurich whose research focuses on machine learning systems, efficient hardware acceleration, and sustainable AI.

Mayee Chen's public pages describe her as a Stanford computer science Ph.D. student and an AI2 research intern working on data-centric machine learning and natural language processing.

Founding AI Lead at Samaya AI with research interests in reasoning, retrieval, agentic systems, and reinforcement learning; previously completed a Stanford PhD in computer science under Christopher Manning.

Boris Ivanovic is a postdoctoral scholar in Stanford's Autonomous Systems Lab whose research focuses on human-centered machine learning and data-driven prediction and planning for autonomous systems.

Yash Dubey is a PhD student at Stanford University and student researcher at Google DeepMind working on embodied AI, large language models, vision-language models, and robot learning.

Carlos Riquelme's public website describes him as a senior research scientist at Google Brain who previously completed a PhD in statistical machine learning at Stanford. His public materials emphasize machine intelligence, efficient and sparse models, and reinforcement learning.

Tim Green is a staff research scientist on Google's ML Foundations team. His homepage says he leads research at the interface of compression and memory to unlock more efficient language models, with interests spanning compression, memorization, and efficient model architectures. The same page says he previously completed a PhD in neuroscience at Stanford and a bachelor's degree in computer science and mathematics at Vanderbilt.

Sandhini Agarwal is a researcher at OpenAI. Her OpenReview profile lists her as a researcher at OpenAI (2020–present) and an undergraduate student at Stanford University (2015–2019).

Adriana Hummel is a PhD student in computer science at Stanford University working on efficient and trustworthy AI systems.

Public sources identify Caia Costello as a Stanford computer science MS student and quote her in 2026 as an Applied ML Researcher at Lambda; she is also a coauthor of OLMo Hybrid.

Stanford Medicine lists David Steiner as an adjunct clinical assistant professor in pathology with research interests in somatic mutations, aging, and cancer. He is also listed as an author of the MedGemma 1.5 Technical Report.

Public Google sources describe Joelle Barral as a senior research leader at Google DeepMind in Paris. Institutional biographies also note earlier work at Verily and HeartVista and degrees from Ecole Polytechnique and Stanford.

Senior Staff Research Scientist and Tech Lead Manager at Google DeepMind Robotics, focused on embodied agents and foundation models for robot decision-making.

NVIDIA identifies Mohammad Shoeybi as a senior research scientist who manages the NLP team within its Applied Deep Learning Research group; the same profile states he received a PhD from Stanford University in 2010.

Niklas Muennighoff researches language models and evaluation at Stanford and has publicly led open-model work including OLMoE.

Leon Liangyu Chen is a computer science Ph.D. student at Stanford University. His public research profile describes work on scalable training and evaluation frameworks for AI agents and multimodal reasoning.

Shayne Longpre's public profiles identify him as a PhD candidate at MIT focused on data-centric AI, language models, and their societal impact.

Leads OpenAI Labs, a research team prototyping new interfaces for people and AI. She studied computer science and applied math at Stanford.

Researches multimodal foundation models and evaluation for healthcare, working with James Zou after prior research engineering work in Nigam Shah's lab.

Katherine Chou focuses on technologies that improve health outcomes and remove friction in care delivery. Public speaker materials describe product leadership experience across Google X, Verily, and Google Research.

Tom Henighan

Anand Avati

Kartikeya Mangalam

Ariana Mirian

Tulsee Doshi

Sang Michael Xie

Tim Brooks

Khaled Saab

Jacob Steinhardt

Kelvin Guu

Shyamal Anadkat

Yang Song

Aakanksha Chowdhery

Claire Cui

Anna Goldie

Liane Lovitt

Tyler Murray

Pang Wei Koh

Trevor Gale

Shengjia Zhao

Tom Henighan

Grace Lam

Vasu Singhal

Sydney Z. Li

Sharon Zhou

Ana Klimovic

Mayee Chen

Ashwin Paranjape

Boris Ivanovic

Yash Dubey

Carlos Riquelme

Tim Green

Sandhini Agarwal

Adriana Hummel

Caia Costello

David F. Steiner

Joelle Barral

Fei Xia

Mohammad Shoeybi

Niklas Muennighoff

Liangyu Chen

Shayne Longpre

Joanne Jang

Rahul Thapa

Katherine Chou