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Jishnu Das is an Associate Professor in the Department of Immunology at the University of Pittsburgh, and a Core Member of the Computational & Systems Biology program. His research is focused on the development and application of novel systems approaches to analyze high-dimensional immunological datasets, elucidating the mechanisms of immune regulation and dysregulation. His work includes the analysis of Mendelian mutations within three-dimensional protein-protein interaction networks to understand the molecular mechanisms of related disorders. Das has developed network analysis frameworks to characterize evolutionary dynamics and apply statistical machine learning methods to analyze high-dimensional data. His current projects address functions associated with immune responses, focusing on vaccine-mediated immunity against infectious diseases including HIV, tuberculosis, and malaria. Das is committed to integrating multi-scale genomic and epigenomic datasets to identify molecular phenotypes connected to immunological disorders. He has received federal funding for his innovative research and is a recipient of the NIAID New Innovators DP2 Award.
The Statistics MS program focuses on mathematical statistics and applied statistics.