I’m interested in applying tools from geometry, topology, and statistics to data analysis and visualization. I’m currently a software engineer/data scientist at Waymo.
I recently finished a 2 year position as a postdoctoral researcher at MIT’s Senseable City Lab, where I worked on applying techniques from network science and causal inference to problems in transportation and sociology.
In 2020 I received my Ph.D. in mathematics from the University of Illinois, Urbana-Champaign working under Jeremiah Heller. My mathematical background is in algebraic K-theory, a field in the intersection of algebraic geometry and algebraic topology which seeks to understand the structure of the groupoid of algebraic vector bundles. Specifically, I investigated local-to-global principles for Hermitian K-theory: Can we decompose a space into smaller pieces and glue together information about the Hermitian K-theory of each small piece in order to get information about the Hermitian K-theory of the original space?