My current research is focused on developing methods to improve computational solvent mapping.

My current research interests include investigating the implications of protein structure and dynamics in computational drug discovery.

My research interests are primarily focused on applying artificial intelligence and data analytics to accelerate computational drug discovery.

My current research interests include stochastic modeling for protein interactions and machine learning.

My work involves leveraging machine learning alongside physics-based models to improve the prediction of antibody-antigen complexes.

My current research focuses on leveraging machine learning and computation to gain both precise and at scale mechanistic insights on biological systems