We develop new tools to understand diverse types of biological datasets.
A common theme is working to couple the architecture of computational analysis with the understanding of the generative process behind a biological dataset, so that each gives insight into the other. We work on a variety of genomics problems ranging from multi-omics analysis to evolution.
Our collaborations leverage our strong biomedical community
Current collaborators include:
Nathan Clark Group, Department of Computational and Systems Biology
Current project: RERconverge method for connecting evolutionary forces with phenotypes.
Mark Shlomchik Group, Department of Immunology
Current project: Understanding memory B-cell subtypes through multiomics analysis.
Dario Vignali's Group, Department of Immunology
Current project: Tumor immunology in model systems.
Hassane Zarour's Group, UPMC Hillman Cancer Institute
Current project: Translational tumor immunology
Paul Monga's Group, Department of Pathology
Current project: Liver disease models.
University of Pittsburgh School of Medicine
Department of Computational and Systems Biology
3501 Fifth Ave, Pittsburgh, PA 15260
Carnegie Mellon - University of Pittsburgh
Ph.D. Program in Computational Biology
phone: 412 648 3338