Gemini: A Family of Highly Capable Multimodal Models

David Dohan is a computer scientist at OpenAI studying scalable alignment of language models and generally intelligent reasoning systems. His personal site also notes prior work at Google Brain on foundation model programs, code generation, protein engineering, and scientific reasoning.

Researcher whose public Google Scholar profile lists Google Research affiliation and publications on multimodal, generative, and reasoning-focused models.

Chief Scientist at Google DeepMind and Vice President of Research leading Gemini, with work spanning scalable sequence learning, large language models, games, and robotics.

Professor at ISTA working on cryptography and machine learning, with interests including privacy-preserving machine learning, large language models, and algorithmic fairness.

Senior staff research scientist at Google working on algorithms for decision making under uncertainty and online learning.

Xinyun Chen's homepage identifies her as an AI research scientist at Meta Superintelligence Labs, previously a staff research scientist at Google DeepMind. It also lists a PhD in Computer Science from UC Berkeley and a BS in Computer Science from Shanghai Jiao Tong University.

Research scientist at Google DeepMind and PhD student at Stanford University. His homepage highlights work on machine learning, reinforcement learning, language models, and recommendation systems.

Researcher at Google Research whose public work includes multimodal and vision-language modeling, with arXiv publications tied to PaliGemma and related transfer work.

Director of Product Management at Google DeepMind leading ML and AI platforms, model developer experiences, and workflows that power the Gemini app and API.

Google researcher whose official profile says he joined Google in September 2008 and has been with Google Brain since January 2015, with research interests spanning information retrieval, machine learning, machine translation, and natural language processing.

Zhifeng Chen's public homepage describes him as a distinguished software engineer at Google Brain focused on large-scale computer systems and machine learning applications.

Geng Ji is listed as an author of the Google technical report Gemini: A Family of Highly Capable Multimodal Models.

Research scientist at Google DeepMind and PhD student at Imperial College London. His public site highlights interests in deep learning, reinforcement learning, and multimodal models, with work spanning Gemini, large-scale reinforcement learning, and self-driving.

Research scientist at Google DeepMind in London. He completed a PhD at the University of Oxford, where his work focused on natural language processing and computational argumentation.

Research scientist at Google DeepMind.

Research scientist at Google DeepMind working on large language models, multimodal language models, and computer vision, according to his public OpenReview profile.

Anmol Kalra is a research scientist at Google DeepMind. His public homepage presents his work and publications in machine learning and AI systems.

Yuntian Deng is a machine learning researcher whose public work spans language modeling, reasoning, and large multimodal systems.

Professor of Computer Science at the Hebrew University of Jerusalem and Visiting Faculty Researcher at Google, with work spanning algorithms, algorithmic economics, and AI-related decision systems.

Assistant Professor in the Department of Computer Science and Technology at the University of Cambridge, with research focused on making AI systems safer, more efficient, and more robust.

Kate Lee is listed as an author of the Google technical report Gemini: A Family of Highly Capable Multimodal Models.

Limin Wu is listed as an author of the Google technical report Gemini: A Family of Highly Capable Multimodal Models.

Research scientist at Google DeepMind working on machine learning and large-scale multimodal models.

Assistant Professor of Computer Science at the University of Southern California and incoming part-time Visiting Faculty Researcher at Google DeepMind; her research combines linguistic structure and machine learning for natural language processing.

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David Dohan

Yuan Cao

Oriol Vinyals

Vladislav Kolesnikov

Alina Beygelzimer

Xinyun Chen

Miao Du

Nan Ding

Joaquin Ferrer

Yonghui Wu

Zhifeng Chen

Geng Ji

Sharat Muralidharan

Paul Welbl

Sebastian Faust

Moe Drammeh

Anmol Kalra

Yuntian Deng

Avinatan Hassidim

David Krueger

Kate Lee

Limin Wu

Tiago Cai

Mina Lee