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’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.
š Nov ‘22 Our paper on ballot length in instant runoff voting was accepted to AAAI 2023!
šØāš» May ‘22 Started my summer internship @ Microsoft Research!
š May ‘22 Attended the Network Dynamics and Choice Theory workshop @ UVM!
šØāš« May ‘22 Accepted a Visiting Instructor position at Carleton College for Winter and Spring 2023!
š May ‘22 Passed my A Exam!
All newsPeople are red, papers are blue.
I wrote a simple monitor program using the LCD and keyboard input that allows you to program the computer–from the computer itself!