I develop interpretable statistical and machine learning frameworks to uncover the multiscale organization and dynamics of cellular systems.

I am a postdoctoral research fellow in the Ray and Stephanie Lane Computational Biology Department, Kenneth C. Griffin School of Computer Science, at Carnegie Mellon University, working with Jian Ma. I received my Ph.D. in Statistics from Peking University under the supervision of Ruibin Xi.

My research connects gene regulation within cells, communication between cells, and the spatiotemporal organization and dynamics of tissues. By integrating single-cell and spatial multi-omics with tissue morphology, I seek to identify the molecular programs and interactions that coordinate cellular behavior across biological contexts.

A central goal is to understand how these programs and interactions are maintained or remodeled over time, and how their changes shape cell and tissue states in aging and disease. My methodological work combines hierarchical and graphical models, interpretable representation learning, and multimodal integration to link complex biological measurements to coherent, testable explanations.

Education

• Ph.D. in Statistics · Peking University
  September 2018 – January 2024
  Center for Statistical Science, School of Mathematical Sciences
  Advisor: Ruibin Xi
• B.S. in Statistics · South China Normal University
  September 2014 – July 2018
  School of Mathematical Sciences

Teaching Experience

Peking University

• Teaching Assistant, Advanced Mathematics (undergraduate course)
  Fall 2020 – Fall 2021