Zheqing (Bill) Zhu
朱哲清

Engineering 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@fb.com (For industry-related inquiries)
zheqzhu@stanford.edu (For academic-related inquiries)

Zheqing (Bill) Zhu is an Engineering Manager at Facebook (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 Facebook (Meta)'s Ads Growth Machine Learning team, where he built the team from scratch and enabled exponential growth in business market for Facebook (Meta).

While working full-time at Facebook (Meta), he is pursuing a PhD degree in Operations Research at Stanford University, with a concentration in reinforcement learning, advised by Professor Benjamin Van Roy. His main research focus is to understand theoretical and pratical gaps in existing reinforcement learning algorithms when integrated with real-life recommendation systems. He received Master of Science in Computer Science from Stanford University in 2019, which was also completed while working full-time at Facebook (Meta). He received Bachelor of Science in Computer Science with a Minor in Finance, summa cum laude, from Duke University in 2017 within 3 years. He has been the recipient of the Alex Vasilos Memorial Award and the Highest Distinction Graduate Award from Duke University and Ericsson BUSS Shanghai Quarterly Technical Award.

Professional Experience

  • Engineering Manager - Head of Applied Reinforcement Learning, Facebook (Meta) AI, 2021 - now

  • Engineering Manager / Tech Lead, Ads Growth Machine Learning, Facebook (Meta), 2018 - 2021

  • Machine Learning Engineer, Ads Growth Machine Learning, Facebook (Meta), 2017 - 2018

Education

  • PhD, Operations Research, Concentration in Reinforcement Learning, Stanford University, 2023 (expected), Advisor: Benjamin Van Roy

  • MS, Computer Science, Stanford University, 2019

  • BS, Computer Science, summa cum laude, Duke University, 2017, Advisor: Ronald Parr

Honors

  • CMO's Highlight Launch List, Facebook (Meta), 2021

  • Win of Month / Win of Quarter, Ads Growth, Facebook (Meta), 2017-2021 (Multi-time Winner)

  • Alex Vasilos Memorial Award, Duke University, 2017

  • Gradudate with Highest Distinction, Duke University, 2017

  • Ericsson BUSS Shanghai Quarterly Technical Award, 2015

Community Services

  • Workshop Chair of AAAI 2023 Reinforcement Learning Ready for Production Workshop

  • Reviewer: NeurIPS, AAAI