Data Science Institute

I am an Assistant Professor at the Department of Biostatistics and a core member at the Center for Computational Molecular Biology at Brown University. I obtained my Ph.D. degree in Biostatistics at University of Michigan, Ann Arbor (Advisor: Dr. Xiang Zhou). Previously, I obtained my Bachelor's degree from Nankai University, China. My recent research interests focus on developing efficient statistical learning methods to address a variety of biological problems and computational challenges in genomics and genetics, particularly single-cell RNA-sequencing, and spatially resolved transcriptomics. In addition to my methodological research, I also work on genetic risk prediction analysis for common health exposure traits in large biobanks such as UK Biobank, and the Michigan Genomics Initiative (MGI).

How does your research, teaching, or other work relate to data or computational science?

My work in computational genomics and biostatistics heavily incorporates data science, as I develop and apply statistical models and machine learning techniques to analyze complex biological data. I teach courses on statistical computing and statistical methods for high dimensional genomics data, focusing on data manipulation and analysis, modeling, which is essential for data science.