I am a first year PhD student in Applied Mathematics at the University of Washington in Seattle. Previously, I worked as a professional research assistant in the Aerospace Mechanics Research Center (AMReC) at the University of Colorado Boulder from 2022-2024. There, I worked with Alireza Doostan and Stephen Becker on data compression techniques for large-scale scientific simulations. I also work independently with Stephen Becker on non-convex Newton-type optimization methods. I earned my B.S. and M.S. from CU Boulder in Applied Mathematics in 2020 and 2022, respectively.
Broadly, my research interests are in computational and mathematical science. I have worked in areas such as non-convex optimization, deep learning, data compression, and algorithmic economics. I appreciate both the theory and application side of problems, which is to say I enjoy both proving a theorem and programming a software package.