Sanket is a theoretical immunologist trained in deterministic and probabilistic mathematical modeling, inference driven Bayesian statistical methods and Cell biology techniques. Sanket earned his PhD in Immunology in 2015 at National Institute of Immunology, India for investigating molecular and cellular factors that govern T cell numbers and function during healthy aging. He transitioned into using computational approaches to study the lymphocyte ecology during his post doctoral years. The overarching theme of his research so far has been to study the ontogeny and homeostasis of lymphocyte populations.
Currently, he is focused on quantifying the variability in lymphocyte dynamics upon disruption of immune homeostasis in cancer and chronic infections. With his distinctive interdisciplinary background, Sanket aims to integrate observations from diverse experimental approaches with mechanistic mathematical models, in a data-driven-modeling approach to provide a robust, quantitative inference of our immune response upon infectious or tumor-derived challenges.