I am a Postdoctoral Associate at MIT hosted by Kaiming He. I obtained my Ph.D. in computing and mathematical science from Caltech (2019-2025), mentored by Anima Anandkumar and Andrew Stuart. I did three summer internships at Nvidia. Previously, I obtained a B.S. at Washington University in St. Louis (2015-2019), majoring in computer science and mathematics with a minor in Jazz. I am fortunate to have received support from the Kortschak Scholarship, PIMCO Fellowship, Amazon AI4Science Fellowship, Nvidia Fellowship, and MIT Novo Nordisk AI Fellowship.

My long-term goal is to develop machine learning methods for scientific computing and discovery. Specifically, I pioneer neural operators for learning solution operator in partial differential equations (PDEs) rising in fluid mechanics and earth science. Neural operators model physical simulation with chaotic behaviors and complex geometries, showing applications in weather forecasting, carbon storage, and aerodynamics simulation.