Xiaowei Wu

Xiaowei Wu is an Assistant Professor in the Department of Statistics at Virginia Polytechnic Institute and State University, part of the College of Science. He holds a Ph.D. in Statistics from Rice University (2010), and M.S. and B.S. degrees in Electrical Engineering from Wuhan University, China (2003 and 1997, respectively). His research focuses on statistical genetics, bioinformatics, Bayesian methods, and stochastic population dynamics. Key areas include mutation rate estimation, epigenetic analysis, and computational tools for genomic data.

Teaching includes courses like Advanced Statistical Genomics and Probability & Statistics for Electrical Engineers. His work bridges theoretical statistics with applications in genetics, neurology, and environmental health. Notable contributions include developing simulation frameworks (e.g., SimuBP) and methodologies for analyzing genetic and epigenetic data. Current projects address antimicrobial resistance, neurological disorder genetics, and machine learning in clinical prediction.

Publications span journals in stochastic analysis, genetics, and bioinformatics, with emphasis on branching processes, mutation dynamics, and genomic variant detection. He collaborates across disciplines to advance quantitative methods in life sciences and healthcare.