Code Language Models | Field

AI researcher at DeepSeek working on natural language processing, code intelligence, and large language model reasoning.

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.

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.

Junyang Lin (Justin Lin) is a researcher and open-source maintainer known for the Qwen family of models. His public profiles list interests in LLMs, AI agents, multimodal learning, long-horizon reasoning, world models, and reinforcement learning; multiple March 2026 news reports said he stepped down from the Qwen tech lead role.

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.

Marina Danilevsky is a research staff member at IBM Research working on NLP, human-centered AI, foundation models, and data-centric AI. She has been at IBM since 2014 and has led work on ontology learning, data quality, and model evaluation. She earned her PhD in Informatics from the University of Edinburgh.

Yu Wu's public homepage says he is a technical staff member at DeepSeek AI who leads the LLM Alignment Team and works on writing, QA, AI search, reasoning, and safety.

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.

Researcher at DeepSeek whose public homepage describes work on DeepSeek R1, V1, V2, V3, Math, Coder, and mixture-of-experts systems.

Senior algorithm expert at Alibaba Group working on large language models, multimodal large language models, and diffusion models.

PhD student at The Hong Kong University of Science and Technology (Guangzhou) whose research interests include large language models, vision-language models, AI agents, and multimodal retrieval.

Recent public bios describe Angela Fan as a researcher at Meta working on large language models, machine translation, multilingual generation, and story generation.

Mistral AI's about page lists Guillaume Lample as one of the company's three founders. His OpenReview profile lists expertise in machine translation and natural language processing and a PhD in computer science at Universite Pierre et Marie Curie - Paris 6.

DeepSeek report author whose DBLP record includes DeepSeek LLM, DeepSeekMath, DeepSeek-Coder-V2, DeepSeek-V3, DeepSeek-R1, Janus, and JanusFlow work.

DeepSeek report author whose DBLP-linked publication record includes DeepSeek LLM, DeepSeek-Coder-V2, Janus, DeepSeek-V3, and DeepSeek-R1 work.

DeepSeek team member and co-author of the DeepSeek-V3, DeepSeek-V2, and DeepSeek LLM technical reports.

DeepSeek report author whose DBLP record includes DeepSeek LLM, DeepSeekMath, DeepSeek-Coder-V2, DeepSeek-V2, DeepSeek-V3, and DeepSeek-R1 work.

Alibaba Qwen report author whose DBLP record includes Qwen2.5-VL and Qwen technical report work on multimodal and large language models.

Jimmy Lin is a computer scientist whose work spans information retrieval, natural language processing, and large-scale machine learning systems.

Research scientist and engineer working on AI and machine learning.

Research scientist at Google DeepMind whose interests span code generation, natural language processing, and generative AI.

Researcher on Alibaba's Qwen team focused on large language models and NLP, with public research profiles listing a Nankai University background.

Member of Technical Staff at Google DeepMind working on machine learning, natural language processing, and large language models.

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.

Research scientist at Meta working on AI agents, language, and reinforcement learning.

Research scientist focused on foundation models and multimodal large language models; his homepage notes earlier work at DeepSeek AI and current research at the University of Southern California.

Zeyu Cui is listed as an author of the Qwen technical report Qwen3 Technical Report.

Armand Joulin is listed as an author of the Meta AI technical report Llama 2: Open Foundation and Fine-Tuned Chat Models.

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.

Research scientist in Tongyi Lab whose official profile highlights post-training and multimodal large language models.

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.

Edouard Grave is a machine learning researcher whose public work spans representation learning, natural language processing, and large language models.

Eric Hambro is a machine learning researcher and entrepreneur whose prior work includes contributions at Meta AI and the LLaMA project.

Mike Lewis is a natural language processing researcher whose public work includes multimodal language modeling and large-scale pretraining.

Rahul Nair is an AI engineer at IBM Research working on foundation models, AI agents, retrieval-augmented generation, and machine learning systems.

Stefano Ermon is a Stanford University professor whose research spans machine learning, generative modeling, and AI for science.

Qwen researcher and co-lead whose work focuses on pretraining and post-training, multimodal models, agent systems, and large-scale model infrastructure.

Researcher affiliated with DeepSeek-AI and co-author of the Nature paper introducing DeepSeek-R1.

Researcher at IBM Research and coauthor of the Scaling Granite Code Models to 128K Context.

Research scientist at Google DeepMind in Mountain View working on machine learning, reinforcement learning, and robotics.

Research scientist at Meta GenAI in Menlo Park working on foundation models, language generation, and evaluation.

Research Director at Google working on machine learning, production systems, and sociotechnical AI.

Researcher at IBM Research and coauthor of the Scaling Granite Code Models to 128K Context.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Researcher at IBM Research and coauthor of the Scaling Granite Code Models to 128K Context.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Co-author of the PaLM 2 Technical Report, which describes Google's multilingual and reasoning-oriented language model.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Researcher at IBM Research and coauthor of the Scaling Granite Code Models to 128K Context.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Research scientist at Meta working on large language models and coding assistants. He previously worked on pre-training language models and neural machine translation and completed a PhD in natural language processing at Sorbonne University.

Research scientist at Meta whose work focuses on efficient large language models and multilingual NLP.

VP at Google DeepMind working on deep learning, computer vision, and language understanding.

Abhinav Bhandwaldar is listed as an author of the Google technical report CodeGemma: Open Code Models Based on Gemma.

Baptiste Roziere is listed as an author of the Meta AI technical report CWM: An Open-Weights LLM for Research on Code Generation with World Models.

Ferhan Ture is listed as an author of the Meta AI technical report CWM: An Open-Weights LLM for Research on Code Generation with World Models.

Kevin Lin is listed as an author of the Google technical report CodeGemma: Open Code Models Based on Gemma.

Kyle Lo is listed as an author of the Meta AI technical report CWM: An Open-Weights LLM for Research on Code Generation with World Models.

Nam Nguyen is listed as an author of the Google technical report CodeGemma: Open Code Models Based on Gemma.

Zachary Garrett is listed as an author of the Meta AI technical report CWM: An Open-Weights LLM for Research on Code Generation with World Models.

Zhenkai Zhu is listed as an author of the DeepSeek technical report DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Google DeepMind researcher working on machine learning and language models.

Nikita Botev is a research scientist at Google DeepMind. His public homepage highlights work in machine learning, generative modeling, and large-scale AI systems.

Piero Molino is a software engineer and researcher working on machine learning systems, distributed systems, and data management for large-scale AI.

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.

Daya Guo

Radu Soricut

Xinyun Chen

Junyang Lin

John Canny

Marina Danilevsky

Y. Wu

Vahid Noroozi

Runxin Xu

Shuai Bai

Jinze Bai

Angela Fan

Guillaume Lample

Junxiao Song

Haowei Zhang

Dejian Yang

Peiyi Wang

Wenbin Ge

Jimmy Lin

Jonas Gehring

Yash Katariya

Kai Dang

Yifeng Lu

Noam Shazeer

Xavier Martinet

Qihao Zhu

Zeyu Cui

Armand Joulin

Donald W. McFadden

Xiaodong Deng

Vinh Quang Tran

Edouard Grave

Eric Hambro

Mike Lewis

Rahul Nair

Stefano Ermon

Chang Zhou

Ruoyu Zhang

Shihan Dou

Andrew M. Dai

Aurelien Rodriguez

D. Sculley

Mairgup Mansurov

Prashanth Doddapaneni

Raghavendra Padmanabha Rao

Sanjiv Kumar

Sriram Raghavan

Aakanksha Ail

Amrutha Bhattacharjee

Bhadra M. R.

Carolyn Rosé

David E. Mitchell

Fred Morstatter

Hariharan Muralidharan

Heri Zhao

Jiawei Han

Karthikeyan Natesan Ramamurthy

Kiran Solaiman

Laura Haas

L. V. Subramaniam

Mona Diab

Morris S. Smith

Nandu Pathak

Neha Chhajed

Prakruthi M.R.

Raja Hebbalaguppe Ramachandra

Rita Singh

Samyak Gupta

Sarath Chandar

Suman Kalyan Maity

Tongshuang Wu

Ya Zhou

Baptiste Rozière

Naman Goyal

Quoc V. Le

Abhinav Bhandwaldar

Baptiste Roziere

Ferhan Ture

Kevin Lin

Kyle Lo