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CodeGemma: Open Code Models Based on Gemma
Code Language Models report from Google Gemini with 21 connected researchers in the LLMpeople atlas.
Connected researchers
Xinyun Chen
Google Gemini / Meta AI
Xinyun Chen's homepage identifies her as an AI research scientist at Meta Superintelligence Labs, previously a staff research scientist at Google DeepMind. It also lists a PhD in Computer Science from UC Berkeley and a BS in Computer Science from Shanghai Jiao Tong University.
D. Sculley
Google Gemini
Research Director at Google working on machine learning, production systems, and sociotechnical AI.
Donald W. McFadden
Google Gemini
Google Gemini report author listed on Gemini, Gemini 1.5, RecurrentGemma, and CodeGemma technical reports, with report-backed work on multimodal models, long-context models, efficient architectures, and code models.
Radu Soricut
Google Gemini
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.
Andrew M. Dai
Google Gemini
Research scientist at Google DeepMind in Mountain View working on machine learning, reinforcement learning, and robotics.
Quoc V. Le
Google Gemini
VP at Google DeepMind working on deep learning, computer vision, and language understanding.
Noam Shazeer
Google Gemini
Distinguished Scientist at Google Research and one of the inventors of the transformer architecture; his work also includes language models, speech recognition, and multi-agent reinforcement learning.
Yifeng Lu
Google Gemini
Member of Technical Staff at Google DeepMind working on machine learning, natural language processing, and large language models.
Stefano Ermon
Google Gemini
Stefano Ermon is a Stanford University professor whose research spans machine learning, generative modeling, and AI for science.
Alexandre Barge
Google Gemini
Google DeepMind researcher working on machine learning and language models.
Vinh Quang Tran
Google Gemini
Research scientist at Google DeepMind working on efficient and effective language model post-training. His public homepage notes interests in model architecture, post-training, and reasoning, and lists him as based in New York City.
Kevin Lin
Google Gemini
Kevin Lin is listed as an author of the Google technical report CodeGemma: Open Code Models Based on Gemma.
Piero Molino
Google Gemini
Piero Molino is a software engineer and researcher working on machine learning systems, distributed systems, and data management for large-scale AI.
Yash Katariya
Google Gemini
Research scientist at Google DeepMind whose interests span code generation, natural language processing, and generative AI.
Nikita Botev
Google Gemini
Nikita Botev is a research scientist at Google DeepMind. His public homepage highlights work in machine learning, generative modeling, and large-scale AI systems.
Nam Nguyen
Google Gemini
Nam Nguyen is listed as an author of the Google technical report CodeGemma: Open Code Models Based on Gemma.
Heri Zhao
Google Gemini
Co-author of the PaLM 2 Technical Report, which describes Google's multilingual and reasoning-oriented language model.
Vahid Noroozi
Google Gemini / NVIDIA
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.
Abhinav Bhandwaldar
Google Gemini
Abhinav Bhandwaldar is listed as an author of the Google technical report CodeGemma: Open Code Models Based on Gemma.
John Canny
Google Gemini
John Canny is the Paul and Stacy Jacobs Distinguished Professor of Engineering at UC Berkeley. His Berkeley faculty homepage shows he taught CS188: Introduction to Artificial Intelligence in Spring 2025. An official Berkeley EECS news profile says he joined the Berkeley faculty in 1987 and earned bachelor's degrees in computer science and theoretical physics and electrical engineering from Adelaide University, followed by master's and PhD degrees from MIT, with contributions spanning AI, robotics, computer graphics, human-computer interaction, computer security, computational algebra, and computational geometry.
Taylor Berg-Kirkpatrick
Google Gemini
Taylor Berg-Kirkpatrick is an associate professor of computer science at UCLA whose research focuses on natural language processing and machine learning. Public sources also list him as a coauthor of CodeGemma.