Zheqing (Bill) Zhu
朱哲清

Senior Staff Research Lead Manager
Head of Applied Reinforcement Learning
Facebook (Meta) AI

LinkedIn: https://www.linkedin.com/in/zheqingzhubill/
Twitter: https://twitter.com/ZheqingZhu
Facebook (Meta) AI Profile: https://ai.facebook.com/people/zheqing-bill-zhu 

Contact:
billzhu@meta.com (For industry-related inquiries)
zheqzhu@stanford.edu (For academic-related inquiries)

Zheqing (Bill) Zhu is an Engineering Manager at Meta AI, where he serves as the Head of Applied Reinforcement Learning. His main interest lies in bringing state-of-the-art reinforcement learning technologies to real-life and bridging the gap between theoretical reinforcement learning and real-world systems. Prior to serving as Head of Applied Reinforcement Learning, he was the engineering manager and tech lead for Meta’s Ads Growth Machine Learning team, where he built the team from scratch and enabled exponential growth in business market for Meta.

Bill earned his PhD degree in Reinforcement Learning at Stanford University, advised by Professor Benjamin Van Roy, while working full-time at Meta AI leading the Applied Reinforcement Learning team. His main research focus is to understand theoretical and practical gaps in existing reinforcement learning algorithms in a real-world context. He received Master of Science in Computer Science from Stanford University (also while full-time at Meta AI) and Bachelor of Science in Computer Science with a Minor in Finance, summa cum laude, from Duke University. He has been the recipient of the Alex Vasilos Memorial Award, the Highest Distinction Graduate Award from Duke University and Ericsson BUSS Shanghai Quarterly Technical Award.

Professional Experience

Selected Publicly Available Research


 Education

Honors

Community Services

Invited Talks