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 a first-year 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'm particularly interesting in understanding how these toolkits can help enable safe and responsible AI (and when they can't).
I completed my undergraduate studies at Princeton, where I was fortunate to be advised by Matt Weinberg. Before my PhD, I spent a year at Carnegie Mellon working with Elaine Shi. I’m grateful to be supported by the NSF GRFP, and to have received the Phillip Goldman ’86 Senior Prize in CS (top CS student at Princeton) and a Goldwater Scholarship as an undergrad.