Theoretical/Computational Chemist; advised by Emilio Gallicchio, Ph.D. & Tom Kurtzman, Ph.D.
I specialize in developing absolute and relative binding free energy methodologies rooted in statistical mechanics and thermodynamics. My research focuses on accurately predicting protein-ligand binding affinities and exploring how water structure and solvation impact these interactions. Validated against rigorous host-guest and protein-ligand experimental datasets, our development of the Alchemical Transfer Method (ATM) aims to bridge critical gaps in the drug discovery pipeline by eliminating sampling bottlenecks and reducing computational overhead.
I hold a B.S. in Chemistry with minors in Mathematics and CS from NYU, and a Ph.D. in Theoretical & Physical Chemistry from The Graduate Center, CUNY. Prior to my graduate studies, I served as a Global Academic Fellow in NYU's Shanghai and Abu Dhabi campuses, where I instructed undergraduate courses in organic/analytical/physical chemistry, calculus, and data structures.
Outside of methods development, I am active in various competitive sports and find grounding in nature's aesthetics, rhythms, and geological beauties.