Sample-Efficient Black-box Reductions in Bayesian Mechanism Design with Independent Items
FOCS 2026. Preliminary version presented as EC ’25 poster. [pdf] [slides]
Hi! I’m a first-year PhD student at MIT EECS, 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 interested in understanding when and how these toolkits can help enable safe and responsible AI.
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.
Publications
Miscellaneous
I'm very lucky to have been guided by many incredible mentors (both professors and students) so far, and I think this kind of mentorship is part of what makes the academic community so special. I’m always happy to chat if there’s any way I can be useful to others, especially students from under-represented backgrounds or those exploring non-traditional pathways to grad school. Feel free to shoot me an email or use this calendar page!