Stanford University

Research scientist and engineer focused on biomedical AI. He is a Member of Technical Staff at OpenAI, was previously a Research Scientist at Google DeepMind, and completed a Stanford PhD on accelerating biomedical intelligence.

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

OpenAI researcher and engineer working on LLM reasoning; previously at Meta AI, DeepMind, and Jane Street.

Researcher at DeepSeek AI interested in generative models, large language models, multimodal learning, and computer vision. He is pursuing a PhD in electrical engineering at Stanford University after earning a bachelor's degree from Tsinghua University, and has also worked at Meta AI and Google.

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

Research scientist at Google DeepMind focused on embodied AI and robotics. His homepage highlights work on skill acquisition, motion planning, world models, and imitation learning.

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.

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.

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.

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

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.

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.

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).

Ranjay Krishna works at the intersection of computer vision, natural language processing, robotics, and human-computer interaction.

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

Studies embodied AI, computer vision, and robotics, and previously completed a BS at the University of Washington with majors in computer science and statistics.

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.

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.

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.

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.

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.

Khaled Saab

Liane Lovitt

Shantanu Jain

Sifan Zhou

Tim Brooks

Tianhe Yu

Shyamal Anadkat

Koh, Pang Wei

Trevor Gale

Lam, Grace

Sydney Z. Li

Ana Klimovic

Chen, Mayee

Boris Ivanovic

Yash Dubey

Sandhini Agarwal

Krishna, Ranjay

Adriana Hummel

Fang, Haoquan

Costello, Caia

Steiner, David F.

Vasu Singhal

Barral, Joelle

Shoeybi, Mohammad

Muennighoff, Niklas

Chen, Liangyu

Longpre, Shayne

Thapa, Rahul

Chou, Katherine