Matt Weinberg

Matt Weinberg is an Associate Professor of Computer Science at Princeton University, specializing in Algorithmic Mechanism Design. His research focuses on domains where user incentives are critical, such as auctions, cryptocurrencies, and social good applications. Prior to joining Princeton's faculty in 2017, he spent two years as a postdoc in Princeton’s CS Theory group and was a Research Fellow at the Simons Institute in 2015 (Economics and Computation) and 2016 (Algorithms and Uncertainty).

Weinberg earned his PhD in Computer Science from MIT in 2014, advised by Costis Daskalakis, and received his BA in Mathematics from Cornell University in 2010, where he collaborated with Bobby Kleinberg. His research spans Algorithmic Game Theory, Economics and Computation, and Theoretical Computer Science, with recent trends emphasizing blockchain economics and multi-item auction theory.

His scientific awards include Simons Institute Research Fellowships. He advises both PhD and MSE students, with a structured philosophy emphasizing independent problem-solving and technical rigor. Weinberg also co-teaches courses like COS 445: Economics and Computing and COS 521: Advanced Algorithms, often collaborating with faculty such as Mark Braverman. His NSF grant CCF-1954927/1955205 supports a crowdsourced list of TCS-focused Master’s programs.