About
Iām 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, Iām 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 was 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.
Recent news
š Aug ‘23 Our paper on networked choice was accepted to Network Science!
š£ Aug ‘23 Gave a talk at KDD on recommendation with temporal network objectives.
š£ Jul ‘23 Gave a talk at NetSci on recommendation with temporal network objectives.
š£ Jul ‘23 Gave an invited talk at SINM on networks and discrete choice.
š May ‘23 Our paper on multi-organization recommendation was accepted to ACM TORS!
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