Omer Tamuz

Omer Tamuz is a Professor of Economics and Mathematics at the California Institute of Technology, holding a joint appointment between the Division of Humanities and Social Sciences and the Division of Physics, Mathematics and Astronomy. He has been at Caltech since 2015, initially as an Assistant Professor (2015-2019) before being promoted to full Professor in 2019. He serves as chair of Caltech's undergraduate admissions committee and is an active member of multiple research centers including the Center for Social Information Sciences (CSIS) and the Center for Theoretical and Experimental Social Sciences (CTESS).

His research spans the intersection of mathematical theory and economic applications, with particular expertise in probability, dynamics, group theory, and their applications to microeconomic theory. His primary research interests include social learning, information economics, risk and uncertainty, and social choice mechanisms. Tamuz's work is characterized by its mathematical rigor applied to fundamental economic questions, often bridging seemingly disparate fields through innovative theoretical connections.

Tamuz's publication record demonstrates consistent high-impact research across both mathematics and economics journals, with significant contributions to understanding information cascades, social learning equilibria, and the mathematical properties of group actions. His recent work (2023-2025) shows continued productivity with papers appearing in top journals like Journal of Political Economy, Econometrica, and Mathematische Annalen, covering topics from stochastic choice to the Boltzmann distribution's economic implications.

• National Science Foundation CAREER Award (2020)
• Sloan Research Fellowship in Mathematics (2020)
• Caltech Division of the Humanities and Social Sciences Brass Award (2019)
• EC20 best paper award for 'Feasible joint posterior beliefs'
• MATCH-UP 2024 best paper award for 'The power of two in token systems'

Tamuz has received research support from multiple prestigious sources including an NSF CAREER award (DMS-1944153), a Sloan Research Fellowship, a BSF award, a Simons Foundation award, and a MURI grant (N000142412742). He actively mentors students and has taught numerous courses including PS/Ec 172 (Undergraduate Game Theory), Ma140b (Random Walks), and Ma140a (Probability), developing comprehensive lecture notes that are widely used by students.