My work lies at the intersection of machine learning, simulation, optimization and sustainability science. Specifically, I am interested in developing tools that enable systematic, AI-driven decision-making in complex, interconnected natural and social systems by leveraging machine learning and mathematical optimization.

I received my PhD in Computational Science and Engineering from Georgia Tech in 2021 where I was advised by Bistra Dilkina. My dissertation was on novel models and algorithms for optimizing resource allocation in conservation planning and disaster preparedness.