The overarching research theme is to identify the origins of immune variability in our responses to diseases. We synthesize probabilistic, mechanistic, and phylogenetic models of data derived from diverse experimental approaches to assess and infer the complexity and dynamism of our B and T cell responses to infections and malignancies. We quantify, compare, and connect steady-state and immune-response dynamics of B and T lymphocytes to understand how their sizes and clonal structures evolve over time and how this defines and reshapes immune equilibria.
Sanket Rane 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 at the 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 lymphocyte ecology during his postdoctoral years at the University of Glasgow and Columbia University.