Research Interests: Interdisciplinary theoretical and computational research to model and predict thermodynamics, dynamics and their interplay in complex real-world systems, relevant to pharmaceutical, chemical and materials sciences. A common theme across these diverse systems is that many of these are plagued with hard to model rare events. To tackle these we develop and use theoretical and computational tools drawing primarily from equilibrium and non-equilibrium statistical mechanics, as well as applied math and recent developments in machine learning/artificial intelligence.