I am a Motwani Postdoctoral Fellow at Stanford University, hosted by Aviad Rubinstein, Amin Saberi, and Ellen Vitercik, and affiliated with Stanford HAI. I completed my PhD in Computer Science at Drexel University, where I was part of the Drexel EconCS research group and was very fortunate to be advised by Vasilis Gkatzelis.

My research interests lie at the intersection of Economics and Computer Science. My work primarily focuses on algorithmic game theory and mechanism design, with a particular focus on improving market efficiency via (potentially unreliable) information. Recently, I have been thinking about the new economic questions emerging around Generative AI, such as data markets and the content ecosystem.

My research has been recognized with the ACM SIGecom Doctoral Dissertation Award Honorable Mention, the Exemplary Theory Track Paper Award at EC, and as a Meta Research PhD Fellowship Finalist, as well as an Outstanding Dissertation Award Finalist and the Research Excellence Award from Drexel University. During my graduate studies, I spent two wonderful summers at Google Research.

Selected Publications

Authors are listed in alphabetical order.

Approximating Gains-from-Trade in Matching Markets
with Moshe Babaioff, Aviad Rubinstein, Kangning Wang
STOC 2026  |  Arxiv
Online Mechanism Design with Predictions
with Eric Balkanski, Vasilis Gkatzelis, Cherlin Zhu
EC 2024  |  Arxiv
★ Exemplary Track Paper Award for the Theory Track
Major revision at Operations Research
Deterministic Budget-Feasible Clock Auctions
with Eric Balkanski, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin
SODA 2022  |  Arxiv
Journal version at Operations Research
Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location
with Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou
EC 2022  |  Arxiv  |  Presentation (20 mins)
Journal version at Mathematics of Operations Research

Awards

Experience & Service

Industry Experience

Academic Service

Teaching