About

I am a Ph.D. candidate in the Department of Statistics and Actuarial Science at the University of Waterloo, supervised by Dr. Joel Dubin and Dr. Subha Maity. My research develops new methods for transfer learning, with applications to clinical prediction for sample-limited subpopulations.

Contact: email

• Transfer learning
• Precision medicine
• High dimensional statistics
• Survival analysis

Education

• 2023 – 2027

  Ph.D. in Statistics (Biostatistics)

  University of Waterloo · expected 2027
• 2021 – 2023

  M.S. in Biostatistics

  University of Michigan
• 2017 – 2021

  B.S. in Statistics, with honours

  Wuhan University

Selected manuscripts

1. Robust Inference for Risk Heterogeneity under Group Imbalance
   M. Xu, S. Maity, J. Dubin
   Under review, Statistics in Biosciences, 2026
   Code
2. Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Heterogeneous Datasets
   S. Guha, M. Xu, Y. Li
   Resubmission invited, Annals of Applied Statistics, 2026

Experience

• May – Dec 2026

  Oncology Biometrics Statistical Intern

  AstraZeneca · Mississauga, ON

  • Indirect treatment comparisons between single-arm trials.
  • Transportability of treatment effects from clinical trials to real-world populations using EHR data.

Service & awards

• Reviewer
  Journal of the American Statistical Association (JASA)
• Awards
  Graduate Research Scholarship; Math Senate Graduate Scholarship; Doctoral Entrance Award — University of Waterloo
  Outstanding Student Scholarship — Wuhan University