Google Gemini

Research scientist focused on machine learning and natural language understanding, with work spanning machine translation, semantic parsing, and large-scale language modeling.

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

Assistant professor at Columbia University working on embodied AI, robot learning, world models, and computer vision. Previously a research scientist at Google DeepMind.

Researcher at Anthropic working on machine learning, language models, and reinforcement learning. Previously a postdoctoral researcher at Meta FAIR, and he earned a PhD in computer science from Harvard University.

Adria Garriga-Alonso is a research scientist at Google DeepMind focused on machine learning and AI safety. His public profile notes a PhD in computer science from the University of Cambridge in 2020.

Ksenia Konyushkova is a research scientist at Google DeepMind in London working on computer vision and embodied AI. Before DeepMind, she co-founded Microverses and held postdoctoral roles at Imperial College London and UC Berkeley. She earned her PhD from EPFL under Pascal Fua.

Postdoctoral associate at MIT CSAIL working at the intersection of machine learning and healthcare. He earned a PhD in computer science from Cornell University and studies multimodal medical AI.

Research scientist at Google Research in New York City. He earned a PhD in computer science from NYU Tandon and works on language models, multimodal learning, NLP, and deep learning.

Postdoctoral research scientist at Google Research working on machine learning for healthcare, medical imaging, and responsible AI.

Head of AI at Google Health in London and a practising NHS vascular surgeon whose work focuses on safe, effective and equitable medical AI.

Resident at xAI and long-term visitor at the Center for AI Safety. He recently completed a PhD in electrical and computer engineering at the University of Texas at Austin, and his work is grounded in mathematical and statistical machine learning plus control theory.

Research scientist at Google DeepMind working on trustworthy deep learning, multimodal modeling, and generalization in AI systems.

Robotics researcher and co-founder of Physical Intelligence, previously an assistant professor at USC and formerly at Google Brain, working on learning-based robot decision making and control.

Assistant professor in the University of Pennsylvania Department of Computer and Information Science whose research spans natural language processing, speech, and multimodal learning; previously a research scientist at Facebook AI Research.

Research scientist at Google DeepMind interested in efficient and reliable language models, reasoning, and model security. His personal site also highlights prior work on planning, geometry, and representation learning.

Sebastian Gehrmann is a staff research scientist at Mistral AI working on language generation, information extraction, and the evaluation of generative systems.

Thomas B. Brown is a research scientist at Google DeepMind whose work focuses on language models, multimodality, and reasoning.

Kenji Kawaguchi is a research scientist at Google DeepMind whose work focuses on optimization, machine learning theory, and deep learning.

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.

Aakanksha Chowdhery is a machine learning researcher based in New York City. She works on large-scale machine learning across pre-training, post-training, inference, and system efficiency, and is known for contributions such as PaLM, Pathways, and Gemini.

AI researcher focused on reasoning and agents who worked on GPT-4, o1, and Deep Research; previously at Google Brain and earned a PhD at MIT.

Researcher at Thinking Machines, formerly at OpenAI, working on real-time multimodal systems across language, vision, and voice.

Research leader at Google DeepMind and Google Research focused on natural language processing and machine learning, including large language models such as PaLM and Gemini.

Radu Soricut

Khaled Saab

Tianhe Yu

Yunzhu Li

David Brandfonbrener

Adrià Garriga-Alonso

Ksenia Konyushkova

Tiam Jaroensri

Siddhartha Brahma

Mercy Asiedu

Alan Karthikesalingam

Brandon McKinzie

Evgenia Rusak

Karl Pertsch

Jiatao Gu

Carl Ble

Sebastian Gehrmann

Thomas B. Brown

Kenji Kawaguchi

Yash Dubey

Aakanksha Chowdhery

Hyung Won Chung

Rowan Zellers

Slava Petrov