Yu Bai
Researcher at OpenAI
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYu Bai is a researcher-focused machine learning scientist with nine years of experience bridging deep learning theory and sample-efficient reinforcement learning, now working on large language models at OpenAI. Prior to OpenAI, he led foundational AI research at Salesforce Research on LLMs, RL, games, and the theoretical underpinnings of deep learning, building on internships at AWS and Google. He holds a PhD in Statistics from Stanford and a math BSc from Peking University, combining rigorous theory with practical model development. Based in the San Francisco Bay Area, Yu’s work emphasizes principled, sample-efficient approaches to complex sequential decision problems—an angle that informs his contributions to large-scale language model research.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc), Mathematics, Bachelor of Science (BSc), Mathematics at Peking UniversityDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Stanford University
Github Skills (6)
bert7
question-answering6
benchmarking4
large-language-models2
benchmark2
neural-machine-translation1
Programming languages (1)
Github contributions (5)
ybai-nlp/CLS_CR
Aug 2021 - Apr 2022
Contributions:15 commits, 4 comments in 8 months
ybai-nlp/ybai-nlp.github.io
Jun 2021 - Jun 2026
Contributions:74 pushes, 1 branch in 5 years 1 month
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