Jiale
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Jiale Han

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PhD Candidate
Department of Statistics and Data Science
University of California, Los Angeles (UCLA)
Email: jialehan [@] ucla [DOT] edu


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About me

Hi, I'm a third-year Ph.D. candidate in the Department of Statistics and Data Science at UCLA. Previously, I received my B.S. in Mathematics from University of Chinese Academy of Sciences in 2022. In the fall of 2021, I also attended Columbia University as an exchange student in the School of Engineering and Applied Science.

My research interests include statistical machine learning, optimal auction design, uncertainty quantification, reinforcement learning, and large language models. I am currently a member of the Lab for Statistics, Computing, Algorithms, Learning, and Economics (SCALE) at UCLA. Under the supervision of Prof. Xiaowu Dai, my research has focused on robust multi-item auction design and online auction mechanisms, incorporating uncertainty quantification techniques. I have also explored variance reduction methods through subsampling and experience replay, and examined large language models from a game-theoretic perspective.

Education

  • University of California, Los Angeles (UCLA)

    • Ph.D. in Statistics, Sep. 2022 - Present

  • University of Chinese Academy of Sciences (UCAS)

    • B.S. in Mathematics and Applied Mathematics, Sep. 2018 - Jun. 2022

  • Columbia University in the City of New York

    • Exchange Student, Sep. 2021 - Dec. 2021

Papers

  • Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce. [paper][code]
    Jiale Han and Xiaowu Dai.
    Under Major Revisions at Journal of the American Statistical Association (JASA), 2025.

  • Variance Reduction via Resampling and Experience Replay. [paper][code]
    Jiale Han, Xiaowu Dai, and Yuhua Zhu.
    Preprint, 2025.

  • Incentivizing Truthful Language Models via Peer Elicitation Games. [paper][code]
    Baiting Chen, Tong Zhu, Jiale Han, Leixn Li, Gang Li, and Xiaowu Dai.
    Preprint, 2025.

  • Robust Multi-item Auction Design Using Statistical Learning: Overcoming Uncertainty in Bidders’ Types Distributions. [paper][code]
    Jiale Han and Xiaowu Dai.
    Preprint, 2023.

Awards

  • Most Promising Statistician Award, UCLA, 2023

  • Statistics and Data Science Department Summer Mentored Research Fellowship, UCLA, 2023

  • Overseas Graduate Studies Fellowship, UCAS, 2021

  • Tang-Lixin Outstanding Student Leader Scholarship, UCAS, 2020

  • Outstanding Student Leader, UCAS, 2019