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    Bill Long

    UX Research. UX Design. Product.

    Bill L, also known as Zheqing (Bill) Zhu, is a prominent Research Leader at Meta (formerly Facebook), specializing in Applied Reinforcement Learning. He has been with Meta AI since 2017, where he has held various roles leading to his current position as the Head of Applied Reinforcement Learning since 2021. His work primarily focuses on bridging theoretical and practical gaps in reinforcement learning algorithms, particularly in real-world applications.

    Education and Academic Background

    • PhD in Reinforcement Learning: Stanford University, 2023
    • MS in Computer Science: Stanford University, 2020
    • BS in Computer Science: Duke University, summa cum laude, 2017

    Zhu completed his PhD while working full-time at Meta AI, demonstrating a significant commitment to both academic and practical advancements in his field. His doctoral research was supervised by Professor Benjamin Van Roy.

    Professional Experience

    • Meta AI:
      • Head of Applied Reinforcement Learning (2021 - Present)
      • Engineering Manager / Tech Lead for Ads Growth Machine Learning (2018 - 2021)
      • Machine Learning Engineer (2017 - 2018)

    Achievements and Recognition

    Zhu has received several accolades throughout his career, including:

    • Alex Vasilos Memorial Award
    • Highest Distinction Graduate Award from Duke University
    • Ericsson BUSS Shanghai Quarterly Technical Award

    He is also actively involved in the academic community as a workshop chair for the AAAI 2023 Reinforcement Learning Ready for Production Workshop and serves as a reviewer for prestigious conferences such as NeurIPS and AAAI.

    In summary, Bill L (Zheqing Zhu) is a leading figure in reinforcement learning at Meta, with a strong academic background and a track record of impactful research and leadership in the field.

    Highlights

    Nov 22 · en.wikipedia.org
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    Related Questions

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    Bill Long
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    Location

    Bellevue, Washington, United States