Research Areas
Biography
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.
Research Interests
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
External Links
Recent Publications
Wang, S., Yuan, B., Cai, T. T., & Li, H. (2024). Phylogenetic Association Analysis with Conditional Rank Correlation. Biometrika, 111(3), 881-902. Article asad075. https://doi.org/10.1093/biomet/asad075
Yu, R., & Wang, S. (2024). TREATMENT EFFECTS ESTIMATION BY UNIFORM TRANSFORMER. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Austria.
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. (2023). Robust differential abundance test in compositional data. Biometrika, 110(1), 169-185. https://doi.org/10.1093/biomet/asac029
Wang, S. (2023). Self-supervised Metric Learning in Multi-View Data: A Downstream Task Perspective. Journal of the American Statistical Association, 118(544), 2454-2467. https://doi.org/10.1080/01621459.2022.2057317