Sample-Efficient Black-box Reductions in Bayesian Mechanism Design with Independent Items
FOCS 2026. Preliminary version presented as EC ’25 poster. [pdf] [poster]
Hi! I’m an incoming PhD student at MIT EECS, affiliated with CSAIL and LIDS, where I’m lucky to be advised by Costis Daskalakis and Manish Raghavan. I am broadly interested in the interfaces between theoretical computer science, machine learning, and game theory.
I completed my undergraduate studies in CS, with a minor in math, at Princeton, where I was fortunate to be advised by Matt Weinberg. Before starting my PhD, I spent a year at Carnegie Mellon working with Elaine Shi. I’m grateful to be supported by an NSF Graduate Research Fellowship, and to have received the Phillip Goldman ’86 Senior Prize in CS (top CS student at Princeton) and a Goldwater Scholarship as an undergrad.