I am a fourth-year PhD student advised by Anima Anandkumar in the CMS department at Caltech. My research interests are in machine learning and applied mathematics. Recently, I have been working on developing deep learning methods neural operators (slides) for partial differential equations. I am fortunate to have received support from the Kortschak Scholarship, PIMCO Fellowship, Amazon AI4Science Fellowship, and Nvidia Fellowship.
Prior to my PhD, I completed my undergraduate studies at Washington University in St. Louis (2015-2019), double-majoring in computer science and mathematics with a minor in Jazz. I was privileged to be advised by Brendan Juba and Xiang Tang.
News: Our group is seeking both prospective PhD students and undergraduate interns to work on AI4Science at Caltech. If you have a background in both machine learning and applied mathematics, please do not hesitate to contact us!