Jiahui Xin

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Ph.D. in Statistics
Email: xinjh.ustc AT gmail DOT com

[Curriculum Vitae]      LinkedIn      GitHub

I received my Ph.D. in Statistics from the Institute of Statistics and Big Data, Renmin University of China in June 2026, supervised by Prof. Wei Ma. From January to May 2026, I was a visiting Ph.D. student at the MRC Biostatistics Unit, University of Cambridge, hosted by Dr. David Robertson. I am collaborating with Dr. Stef Baas, Dr. David Robertson, and Prof. Sofia Villar on exact tests for covariate-adjusted response-adaptive designs. I am also fortunate to collaborate with Prof. Hanzhong Liu (Tsinghua University) and Prof. Feifang Hu (The George Washington University).

Prior to this, I received my Bachelor's degree in Statistics from the School of the Gifted Young, University of Science and Technology of China in 2021.

Research Interests

My research focuses on precision medicine and optimization of clinical trials. Specifically, I am interested in:

  • Adaptive Design

  • Causal Inference

  • Treatment Heterogeneity

Research Papers

  • On the Achievability of Efficiency Bounds for Covariate-Adjusted Response-Adaptive Randomization.
    Jiahui Xin and Wei Ma.
    Statistical Methods in Medical Research, 2025.
    [DOI] [arXiv] [Code]

  • Cross-Validation Model Averaging under Covariate-Adaptive Randomization.
    Fuyi Tu, Jiahui Xin, and Wei Ma.
    Major revision at Statistica Sinica.

  • Covariate-Adaptive Randomization with Many Strata: Asymptotic Theory and Statistical Inference.
    Jiahui Xin, Hanzhong Liu, Feifang Hu, and Wei Ma.
    Working paper; an earlier version is available on arXiv.
    [arXiv (earlier version)]

  • Covariate-Adaptive Enrollment for Single-Arm Trials Using External Controls.
    Jiahui Xin, Hengjia Fang, Zhiyue Huang, Satoshi Yoshida, and Wei Ma.
    Working paper.

Ongoing Projects

  • Exact Tests for Covariate-Adjusted Response-Adaptive Designs (working title).
    Ongoing collaborative work with Stef Baas, David Robertson, and Sofia Villar; manuscript in preparation.

Industry Experience

  • Astellas Pharma, Clinical Biostatistics Intern, June 2025 – Aug. 2025
    Developed adaptive enrollment strategies for single-arm survival trials with external controls.

Recent Presentations

  • MRC Biostatistics Unit, University of Cambridge

    Efficient Study Design Discussion Group, Online, July 2026 - Invited Talk

    Title: Exact Tests for Covariate-Adjusted Response-Adaptive Designs: Unconditional and Conditional Approaches

  • Joint Conference on Statistics and Data Science in China

    Young Researchers Workshop, Guiyang, China, July 2026 - Oral Presentation

    Title: Covariate-adaptive randomization with many strata: Asymptotic theory and statistical inference

  • Isaac Newton Institute for Mathematical Sciences, University of Cambridge

    Causal Inference in Biomedicine Workshop, Bristol, UK, April 2026 - Poster Presentation

    Title: Covariate-adaptive enrollment for single-arm trials using external controls

  • Isaac Newton Institute for Mathematical Sciences, University of Cambridge

    Causal Inference in the Real World Workshop, Cambridge, UK, April 2026 - Lightning Talk & Poster Presentation

    Title: Covariate-adaptive enrollment for single-arm trials using external controls

  • MRC Biostatistics Unit, University of Cambridge

    Efficient Study Design Discussion Group, Cambridge, UK, Feb. 2026 - Invited Talk

    Title: Covariate-adaptive randomization with many strata: Asymptotic theory and statistical inference

  • Drug Information Association

    Quantitative Science Forum, Nanjing, China, Oct. 2025 - Invited Talk

    Title: Covariate-adaptive enrollment for single-arm survival trials using external controls

  • Chinese Statistical Association of Young Statisticians

    Ph.D. Student Forum, Jinan, China, April 2025 - Travel Award & Oral Presentation

    Title: Inference under covariate-adaptive randomization with many strata

Visitor Map

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Contact

If you are interested in discussing with me, feel free to drop me an email!

Email: xinjh.ustc@gmail.com