(734) 764-5450

Applications:
Biological Sciences
Methodologies:
Computing, Data Integration, Data Mining, Machine Learning, Mathematical and Statistical Modeling, Networks, Statistics
Relevant Projects:

NIH


Gen Li

Assistant Professor

Department of Biostatistics

Dr. Gen Li is an Assistant Professor in the Department of Biostatistics. He is devoted to developing new statistical methods for analyzing complex biomedical data, including multi-way tensor array data, multi-view data, and compositional data. His methodological research interests include dimension reduction, predictive modeling, association analysis, and functional data analysis. He also has research interests in scientific domains including microbiome and genomics.

Novel tree-guided regularization methods can identify important microbial features at different taxonomic ranks that are predictive of the clinical outcome.