Assistant Professor of Computational Medicine and Bioinformatics

Member of the Institute for Heart and Brain Health starting from Sep 2023.

Before I came to UMich, I was a postdoctoral researcher in the Dr. Mike Snyder’s lab at Stanford, leading data analysis and integration for several projects, including GTEx, wearable COVID project, ENCODE, and HuBMAP.  I obtained my Ph.D. in Mathematics with Specialization in Statistics from the  University of California, San Diego (under advisor: Dr. Ery Arias-Castro). I also undertook about one-year postdoctoral training in privacy protection in the Department of Biomedical Informatics at UCSD (under advisor: Dr. Xiaoqian Jiang).

My overall research interest is developing  novel computational and statistical methods to integrate diverse biomedical data for early detection, intervention, and prevention of diseases.

Education and training:

M.S. Applied Statistics, University of Michigan, Ann Arbor

B.S., Applied Mathematics, McGill University

Education and training:

Ph.D., Computer Science, Jilin University, China

Education and training:

Ph.D., Agricultural and Biological Engineering, University of Florida

M.S., Biostatistics, University of Florida