I'm a PhD student in the MIT Department of Mathematics, advised by Pablo A. Parrilo. My research is centered around the intersection of computational science and probability. Recently, I've been working on using randomness to develop accelerated optimization algorithms.
Before MIT, I obtained a B.S. in Applied Mathematics from Columbia University, where I worked on dynamics discovery for stochastic systems with Qiang Du, sampling for rare events with Shanyin Tong, and radiative transport in random media with Joe Kraisler. I was also visiting the Courant Institute of Mathematical Sciences, working on optimization under uncertainty and large deviations theory for rare events with Georg Stadler.
Outside of research, I am also passionate about mentoring for mathematical research. Currently, I'm a mentor for MIT PRIMES and Research Science Institute.