Gemini: A Family of Highly Capable Multimodal Models

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

Xinyun Chen is a machine learning researcher at Meta FAIR. Her work spans large language models, code generation, mathematical reasoning, and efficient inference.

Research scientist at Google DeepMind working on post-training, large language model evaluation, and multimodal alignment.

Olivier Bachem is a director and research scientist at Google DeepMind working on reinforcement learning from human feedback, language model post-training, and machine learning at scale. He earned his PhD at ETH Zurich, where he studied coresets and sampling methods for large-scale machine learning.

Chengzheng Xu is a research scientist at Google DeepMind whose public homepage highlights work on vision-language models, multimodal learning, and efficient large-scale machine learning.

Research Scientist at Google DeepMind focused on agents, memory, and reasoning; completed a PhD at Stanford advised by Percy Liang.

Qazi Irfan is a research scientist at Google DeepMind. His public homepage highlights work spanning multimodal learning, visual reasoning, and efficient large-scale machine learning.

Founding engineer at Anysphere, previously at Google Brain, UC Berkeley, and Scale AI, interested in machine learning, statistics, and systems.

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

Chief Technology Officer at Google DeepMind, with work spanning machine learning and reinforcement learning.

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

Research director at Google working on music AI, multimodal generation, and human-AI interaction. He co-founded the Magenta project and has led widely used work on music generation with neural networks.

Carrie Cai is a machine learning researcher with interests in generative modeling, reinforcement learning, and deep learning theory.

Professor of Linguistics and, by courtesy, Computer Science at Stanford University whose research spans natural language semantics, pragmatics, and AI; he directs CSLI.

Johan Schalkwyk is a speech and language researcher whose public profile highlights work on speech recognition, multilingual systems, conversational AI, and large language 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 working on multimodal large language models. He completed a PhD at Tsinghua University and was a visiting PhD student at UC San Diego.

Distinguished software engineer at Google Brain focused on large-scale computer systems and machine learning applications.

Research scientist at Google DeepMind.

Research scientist at Google DeepMind working on efficient, adaptive systems that learn on the job and collaborate with people. She completed a Ph.D. in machine learning at Mila and Universite de Montreal.

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

Research scientist at Google DeepMind focused on long-context and memory-augmented models. His public profile describes work on architectures and algorithms that help models reason over real-world data.

Research scientist at Google DeepMind working on language model reasoning and AI safety. He previously worked as a member of technical staff at Anthropic.

Founder and CEO of Google DeepMind, leading AI research and product development; his work spans AI, neuroscience, game playing, and structural biology.