I am currently an Assistant Professor in the School of Mathematics and Statistics, College of Science, at Rochester Institute of Technology. Prior to joining RIT, I was an Independent Postdoctoral Fellow at the Simons Center for Computational Physical Chemistry (SCCPC) at New York University and a Visiting Assistant Professor in the Department of Mathematics at Michigan State University. I hold a Bachelor’s Degree in Mathematics and Applied Mathematics from Xi’an Jiaotong University and a Ph.D. in Applied Mathematics from Michigan State University, where I worked under the supervision of Prof. Guowei Wei.

My research focuses on developing innovative mathematical methods, particularly in topological and geometric data analysis (TDA/GDA), to understand various biological processes. Combined with machine learning (ML) models, this understanding enables rapid, data-driven responses to emerging diseases by providing predictive insights for identifying effective therapeutic candidates in early-stage drug discovery. My interests include computational topology and graphs, mathematical modeling of infectious diseases, mathematical virology, RNA motif design, protein-peptide docking prediction, and genomics analysis.