Shulei Wang

Shulei Wang is an Assistant Professor in the Department of Statistics at the University of Illinois at Urbana-Champaign, with additional affiliations in Nutritional Sciences and the Personalized Nutrition Initiative at the Carl R. Woese Institute for Genomic Biology. His research focuses on advancing statistical and machine learning methodologies, particularly in self-supervised learning, and their applications to biomedical data including multi-omics and imaging datasets. He holds a Ph.D. in Statistics from the University of Wisconsin-Madison and a B.S. in Mathematics from Zhejiang University.

Key research areas include developing robust statistical frameworks for compositional data analysis, phylogenetic association studies, and treatment effect estimation. He is affiliated with the NSF Science and Technology Center for Quantitative Cell Biology and leads a lab bridging theoretical statistics with practical biomedical applications.

Recent work emphasizes scalable methods for microbial compositional data and innovative approaches to phylogenetic analysis. His contributions span top-tier journals like Biometrika, Journal of the Royal Statistical Society, and Bioinformatics.