Dr. Jishnu Das is Assistant Professor at the Departments of Immunology and Computational and Systems Biology and Core Faculty member at the CSI. He has strong expertise in computational systems analyses of immunological data and his research focuses on the development and use of novel machine learning and network systems approaches to analyze high-dimensional immunological datasets in a wide range of contexts, with an emphasis on autoimmune and alloimmune disorders. Current research in his lab has 2 broad arms:
- Creative use of existing machine-learning, high-dimensional statistical and topological network analyses methods for biologically meaningful integration of multi-omic datasets. These analyses help us understand immune mechanisms in a wide range of contexts, encompassing both natural and vaccine-mediated immunity.
- Development of novel methods (at the intersection of machine learning and network systems biology) for the analyses of high-dimensional immunological datasets (transcriptomic, phenotypic and functional).