Gemma 3n Technical Report

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.

Public report authorship links Jason Wei to the Gemma 3n Technical Report at Google.

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.

Jiahui Yu is a Research Lead at OpenAI leading the Perception team. His homepage notes prior co-leadership on Gemini Multimodal at Google DeepMind and work on deep learning and high-performance computing.

Radu Soricut is a Distinguished Scientist at Google DeepMind working on natural language processing and machine learning, with earlier Google Research and Google Translate work.

Kevin Robinson is a research engineer at Google Research working on evaluations of language models and NLP systems. His Google Research profile says he previously worked as a special education teacher, a software engineer building visualization and analytics systems, and a researcher in K12 computer science education.

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 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.

Rishabh Kabra is a research scientist at Google DeepMind. His public homepage highlights work on machine learning systems and large-scale language model research.

Public report authorship links Su Wang to the Gemma 3n Technical Report at Google.

Vahid Noroozi is an applied research scientist at NVIDIA. His NVIDIA author profile says his work focuses on deep learning for speech and natural language processing and that he received a PhD in computer science from the University of Illinois Chicago. His homepage says he previously worked on post-training large language models at Google DeepMind after earlier multimedia and neuroscience research at TU Delft and the Max Planck Institute for Biological Cybernetics.

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

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

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

Research engineer at Google DeepMind focused on large language models, long-context systems, and efficient inference; previously worked on speech and generative models.

Myungjae Ahn is a postdoctoral researcher at Google DeepMind whose work focuses on multimodal AI, including language, speech, vision, and robotics.

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.

Jiaxuan Li is listed as an author of the Google technical report Gemma 3n Technical Report.

Research scientist at Google DeepMind working on multimodal large language models and efficient language modeling.

Research scientist at Google DeepMind working on large language models, machine translation, and natural language processing.

Public report authorship links Yinghui Xu to the Gemma 3n Technical Report at Google.

Staff research scientist at Google DeepMind in Mountain View working on multimodal language model pretraining and post-training.

Research scientist at Google DeepMind and co-founder of Waypoint, working on robot learning.

Canonical link

David Dohan

Jason Wei

Sebastian Borgeaud

Jiahui Yu

Radu Soricut

Kevin Robinson

Vincent Vanhoucke

Matthias Minderer

Rishabh Kabra

Su Wang

Vahid Noroozi

Julian Schrittwieser

Adam Casson

Yuchen Ge

Lewis Houghton

Dylan Cope

Myungjae Ahn

Jaehoon Lee

Jiaxuan Li

Xiangyu Yue

Tao Ge

Yinghui Xu

Young-Min Kim

Peter Florence