About
I am an algebraic geometer with interests in Gromov-Witten theory and machine learning. In machine learning, I am contributing to the mathematical foundations of machine learning by studying the geometry of the central objects in deep learning. In Gromov-Witten theory, I work on problems relating to classical enumerative geometry as well as more modern curve counting theories, and my work has connections to representation theory and physics.