I am an Assistant Professor in the Department of Statistics at the University of Illinois at Urbana-Champaign. Previously, I was a postdoc researcher at the University of Pennsylvania. I received my Ph.D. in Statistics from the University of Wisconsin-Madison.
Our lab aims to bridge the theoretical and empirical boundary of modern statistics and machine learning methods (self-supervised learning, nonparametric and high-dimensional statistics) and advance the practice of statistics in biomedical applications (microbiome and imaging).
Additional Campus Affiliations
Assistant Professor, Nutritional Sciences
Affiliate, Personalized Nutrition Initiative, Carl R. Woese Institute for Genomic Biology
Wang, S. (2023). Multi-scale Adaptive Differential Abundance Analysis in Microbial Compositional Data. Bioinformatics, 39(4), Article btad178. https://doi.org/10.1093/bioinformatics/btad178
Wang, S., Yuan, B., Cai, T. T., & Li, H. (2023). Phylogenetic Association Analysis with Conditional Rank Correlation. Biometrika, Article asad075. Advance online publication. https://doi.org/10.1093/biomet/asad075
Yuan, B., & Wang, S. (2023). RSim: A reference-based normalization method via rank similarity. PLoS computational biology, 19(9), Article e1011447. https://doi.org/10.1371/journal.pcbi.1011447
Wang, S. (2022). Robust differential abundance test in compositional data. Biometrika. Advance online publication. https://doi.org/10.1093/biomet/asac029
Wang, S. (Accepted/In press). Self-supervised Metric Learning in Multi-View Data: A Downstream Task Perspective. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2022.2057317