Biography

Education

Internship Experience

  • Clinical Biostatistics Intern, Adaptive Strategy;

    • Astellas Pharma, Clinical Biometrics Function, Beijing, China;

    • June 2025 - Aug. 2025;

    • Mentors: Dr. Zhiyue Huang and Satoshi Yoshida;

    • Developed adaptive enrollment strategies for single-arm survival trials under practical covariate shift.

    • Presented project results in internal seminars, including a China–Japan joint statistics meeting and a final internship presentation within the Clinical Biometrics Function.

  • Research & Development Intern, Audio Augmentation;

    • Honor Device, R&D Management Department, Nanjing, China;

    • July 2021;

    • Mentor: Dr. Lei Fang;

    • Augmented synthetic speech with room-reverberation simulation to boost automatic speech recognition robustness.

Presentations

  • Isaac Newton Institute for Mathematical Sciences, Causal Inference in the Real-World Workshop, Cambridge, UK, 2026 — Upcoming Poster Presentation
    Title: Covariate-adaptive enrollment for single-arm trials using external controls

  • Isaac Newton Institute for Mathematical Sciences, Causal Inference in Biomedicine Workshop, Bristol, UK, 2026 — Upcoming 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, 2026 — Invited Talk
    Title: Covariate-adaptive randomization with many strata: Asymptotic theory and statistical inference

  • Drug Information Association, Quantitative Science Forum, Nanjing, China, 2025 — Invited Speaker
    Title: Covariate-adaptive enrollment for single-arm survival trials using external controls

  • Chinese Statistical Association of Young Statisticians, Ph.D. Student Forum, Jinan, China, 2025 — Travel Award & Oral Presentation
    Title: Inference under covariate-adaptive randomization with many strata

  • National Graduate Student Statistics Forum, Biostatistics and Epidemiology Section, Beijing, China, 2024 — Selected Paper & Oral Presentation
    Title: Inference under covariate-adaptive randomization with many strata

Specialized Training

  • AI and Large Language Models Workshop - Department of Computer Science and Technology, University of Cambridge (Feb. 2026)

    • Accelerate Programme for Scientific Discovery

  • Analyses of Complex Experiments - Yau Mathematical Sciences Center, Tsinghua University (Dec. 2025)

    • Short course by Prof. Peng Ding (UC Berkeley)

  • Experimental Design and A/B Testing - Guanghua School of Management, Peking University (July - Aug. 2024)

    • Business Analysis Workshop by Tencent

  • Reinforcement Learning - Institute of Statistics and Big Data, Renmin University of China (Dec. 2023)

    • Short course by Prof. Chengchun Shi (LSE)

  • Topics and Recent Advances in Statistical Inference - Yau Mathematical Sciences Center, Tsinghua University (June, July & Dec. 2023)

    • Short course by Prof. Peng Ding (UC Berkeley)

  • Semiparametric Learning - Institute of Statistics and Big Data, Renmin University of China (July 2023)

    • Short Course by Prof. Yanyuan Ma (Penn State)

Teaching Assistant Experience

  • Renmin University of China

    • Adaptive Design and Reinforcement Learning (Spring 2025)

    • Advanced Statistical Computation (Fall 2024)

    • Advanced Applied Statistics and Data Analysis (Spring 2024)

    • Statistical Models and Inference (Fall 2022)

  • University of Science and Technology of China

    • Complex Analysis (Spring 2020)

    • Optics and Atomic Physics (Spring 2019)