Gemma 3 Technical Report

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.

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.

Michael Uthus works on frontier model safety and evaluation at Google DeepMind.

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

Research scientist at Google DeepMind focused on scaling frontier models and advancing the Gemma family of open models.

Machine learning researcher at Google DeepMind focused on multimodal foundation models and post-training.

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Jiahui Yu

Adam Casson

Yuchen Ge

Lewis Houghton

Dylan Cope

Myungjae Ahn

Jaehoon Lee

Jiaxuan Li

Michael Uthus

Xiangyu Yue

Nathan Schuh

Sami Stigzelius