Position title: Professor
Wisconsin Institutes for Discovery, Room 3168
330 N. Orchard Strett
Madison, WI 53715
- My research focuses on developing and applying computational methods based on statistical machine learning for understanding gene regulatory networks that control gene expression patterns in living cells. I am interested in identifying networks under different environmental, developmental, disease, population and species contexts, comparing these networks across contexts, and understanding how changes in the regulatory network cause differences across contexts. Our approaches harness the increasingly available repertoires of bulk and single cell genomic measurements and are applicable to diverse plant and mammalian systems. Our methods can be used to study gene regulatory processes underlying different normal conditions, e.g., cell fate specification and host microbe interactions, and, disease processes such as cancer and neurodevelopmental diseases. Three major directions of research in my group are to develop methods for: (a) Genome-scale transcriptional regulatory network inference from bulk and single cell omic datasets, (b) Evolutionary analysis of gene regulatory networks and regulatory genomic datasets, (c) Understanding 3D Genome organization.
- UW-Madison Affiliation
- Affiliate Faculty, Department of Computer Sciences; Computer, Data & Information Sciences; College of Letters and Science