Yu Bai
Summary
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SeniorYu 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
Github Skills (2)
question-answering6
bert5
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 - Oct 2024
Contributions:70 pushes, 1 branch in 3 years 4 months
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