about me

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. 

More recently, I began deploying large open-weight LLMs on our local Blackwell GPU cluster, utilizing multi-agent frameworks to streamline the system setup of biomolecular complexes.

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.