Gemma: Open Models Based on Gemini Research and Technology

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.

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

VP of Research at Google DeepMind working on robotics and embodied intelligence, with expertise in machine learning, reinforcement learning, neuroscience, and computer vision.

Vice president at Google DeepMind in London working on machine learning and reinforcement learning. His public profile notes work spanning policy-gradient methods, distributed and generative models, and robotics.

Laura Buesing is a research scientist at Google DeepMind working on machine learning and computational neuroscience, with a focus on agents that remember, reason, and plan.

Moein Khazraee is a postdoctoral researcher at LMU Munich and a visitor at Google DeepMind. His research focuses on reliable and trustworthy machine learning for language, knowledge, and reasoning.

Andras Sarkozy is a senior staff research scientist at Google DeepMind in London. His public profiles describe work on machine learning and natural language processing, with interests in code generation and reasoning in language models.

AI researcher focused on epistemic safety for advanced AI systems, including uncertainty and out-of-distribution detection.

Research scientist at Google DeepMind working on data compression, efficient language models, and multilingual modeling.

Mathematician and machine learning researcher whose NYU profile describes him as a PhD student in mathematics, advising at NYU Shanghai and a research intern at Google DeepMind; he also co-authored AlphaGeometry and the Gemma report.

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

Member of Technical Staff at Google DeepMind working on language and multimodal models.

Antoine Bosselut is an assistant professor in the Language Technologies Institute at Carnegie Mellon University. His research develops language technologies that align with people's social and cultural values and stay robust in realistic settings.

Researcher working on open language models and multimodal systems, including Gemma.

Research scientist at Google DeepMind focused on machine learning, optimization, computer vision, and AI for science.

Research scientist at Google DeepMind in London working on efficient, robust, and reasoning-capable language models. His homepage also notes interests in language model alignment and a mathematics background from Cambridge.

Research scientist at Google DeepMind whose public profiles describe work in machine learning and generative modeling, with a personal homepage covering neural networks, variational inference, and program synthesis.

Matthew Botvinick is a Google DeepMind scientist whose public profile focuses on neuroscience-inspired AI, cognitive science, and machine learning.

Petar Veličković is a Senior Staff Research Scientist at Google DeepMind and an affiliated lecturer at Cambridge. His research explores building general-purpose reasoning agents by combining inference, search, and learning.

Staff research engineer at Google DeepMind in London working on the Gemini team.

Profile still being enriched.

Profile still being enriched.