OVERVIEW

My research spans theoretical condensed matter physics and AI for fundamental physics. I study correlated quantum many-body systems and topological quantum matter through mathematical methods, high-performance computing, and machine learning, with broader interests in quantum computing.  Previously, I worked in stellar astrophysics, building ML methods for the spectral classification of main-sequence stars and cool dwarfs. My long-term goal is to uncover new physical principles across scales, from quantum systems to the universe.

For the most up-to-date information, see my Personal Website.