Biography

Education

• Ph.D. in Statistics

  • Sept. 2021 - June 2026

  • Institute of Statistics and Big Data, Renmin University of China, Beijing, China

  • GPA: 3.84/4.0

  • Supervisor: Prof. Wei Ma

• Visiting Ph.D. Student

  • Jan. 2026 - May 2026

  • MRC Biostatistics Unit, University of Cambridge, Cambridge, UK

  • Host: Dr. David Robertson

  • Conducted research on exact statistical tests for covariate-adjusted response-adaptive designs.

• B.S. in Statistics

  • Sept. 2016 - June 2021

  • Special Class for the Gifted Young, University of Science and Technology of China, Hefei, China

  • Major GPA: 3.95/4.3, Total GPA: 3.75/4.3

Internship Experience

• Clinical Biostatistics Intern, Adaptive Strategy

  • Astellas Pharma, Clinical Biometrics Function, Beijing, China

  • June 2025 - Aug. 2025

  • Mentors: Zhiyue Huang and Satoshi Yoshida

  • Developed adaptive enrollment strategies for single-arm survival trials with external controls.

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

• 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

Professional Development

• Biostatistics and Data Science Summer School - Beijing International Center for Mathematical Research, Peking University (July 2026)

  • Graduate Education Innovation Program

• Semiparametric Learning - Institute of Statistics and Big Data, Renmin University of China (May 2026; July 2024; July 2023)

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

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

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

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

  • Short course by Tencent

• Recent Advances in Causal Inference - Yau Mathematical Sciences Center, Tsinghua University (Dec. 2023)

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

• Topics in Causal Inference - Yau Mathematical Sciences Center, Tsinghua University (June - July 2023)

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

Teaching Assistant Experience

• Renmin University of China

  • Adaptive Design and Sequential Learning (Spring 2025)

  • Advanced Statistical Computation (Fall 2024)

  • Advanced Applied Statistics and Data Analysis (Spring 2024)

  • Statistical Models and Inference (Fall 2022)

Academic Service

• Journal Reviewer, Statistical Methods in Medical Research (2026)