Gemma 3n Technical Report

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

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.

Corey Lynch is a research scientist at Google DeepMind working on embodied AI and robotics. He previously cofounded Ikonos.

Yuchen Ge is a research scientist at Google DeepMind whose work focuses on vision-language models and multimodal machine learning.

Jiahui Yu is a research scientist at Google DeepMind working on multimodal learning and large language models.

Armand Joulin is a research scientist at Google whose work spans natural language processing, machine learning, deep learning, and computer vision.

Pablo Sprechmann is a research scientist at Google DeepMind whose work spans representation learning, reinforcement learning, and machine learning for football tactics. Before DeepMind, he was a postdoctoral researcher at New York University working with Yann LeCun. He previously completed doctoral research under Guillermo Sapiro.

Research Scientist at Google DeepMind in London working on large multimodal models, evaluation, agents, and computer vision; he completed a PhD at the University of Tuebingen and MPI for Intelligent Systems.

Karen Simonyan is VP of Research at Google DeepMind in London, where he leads the multimodal generative AI team. He is known for major contributions including the VGG network and work spanning systems such as AlphaGo, WaveNet, AlphaStar, and Gemini.

Jaehoon Lee is a researcher at Google DeepMind. His work covers practical and foundational aspects of large language models, together with deep learning theory and reinforcement learning.

Jonathan Tompson is a research scientist working on robotics, perception, and embodied AI. His public profile highlights work on computer vision, simulation, reinforcement learning, and robot intelligence.

Software engineer at Google DeepMind working on model architecture and engineering for general-purpose language models.

Research scientist at Google DeepMind working on multimodal medical AI and personalized health applications.

Julian Schrittwieser is a Google DeepMind researcher known for reinforcement learning and game-playing systems.

Piotr Padlewski is a researcher working on efficient language and multimodal models, with publications including Gemma 3n and EdgeMark.

Researcher at OpenAI working on reasoning and scalable oversight, with prior work on chain-of-thought prompting, instruction tuning, and aligning language models with human preferences.

Senior Research Scientist at Google DeepMind working on Gemini, embodied AI, and multimodal foundation models for robotics and perception.

Research engineer focused on large-scale machine learning and AI systems. He has worked at OpenAI and publishes writing and projects on his personal website.

Research scientist at Google Research whose public work spans multilingual and large-scale language modeling; arXiv author results include the PaLM paper.

Research scientist at Google DeepMind in London working on agentic reasoning, efficient inference, and large-scale post-training, with a background in high-dimensional statistics and theory.

Senior Staff Research Scientist at Google DeepMind and CTO of the Gemini app, with work spanning speech, language, vision, and large-scale AI systems.

Research scientist at Google DeepMind working on large language models in London. His public site lists interests in efficient inference, evaluation, multi-agent systems, and interpretability, and notes earlier work on code intelligence at Graphcore.

Research scientist at Google DeepMind working on general robotic intelligence, robot learning, and real-world datasets for improved robot dexterity and understanding.

Research scientist at Meta whose interests include natural language processing, multimodal AI, social computing, and computational social science.