About

I’m a Computer Science PhD candidate at Cornell University advised by Jon Kleinberg and collaborating with Johan Ugander on problems around instant-runoff voting. More broadly, I’m interested in modeling and understanding human behavior (especially choices) through algorithmic and machine learning methods. Last summer I interned at Microsoft Research with Jennifer Neville on recommendations in networks—the summer before that, I did research on multi-organization recommendation at Microsoft with Longqi Yang and Mengting Wan. This winter and spring, I’m a visiting instructor at Carleton College teaching Data Structures and Mathematics of Computer Science.

When away from my desk, I spend my time playing guitar, building 8-bit computers, biking, listening to music, flying quadcopters, bouldering, and playing pool. I have additional interests in spaceflight, Premier League football, and Formula 1.