
Welcome to my homepage!
I am a postdoc in PACM at Princeton University
under supervision of Prof. Amit Singer .
Previously, I obtained my Ph.D. in Computational and Applied Mathematics at the University of Chicago in 2022,
advised by Prof. Daniel SanzAlonso, and a B.S. in Mathematics from UCLA in 2017.
My research interests lie broadly in the mathematical foundations of data science.
Specifically, my Ph.D. thesis focuses on the applications of graphbased and Gaussian process methods in statistical inverse problems and their asymptotic properties.
I also work with Prof. Bryon Aragam on nonparametric mixture models.
