Omer Tamuz's work in economics focuses on microeconomic theory, including information, risk and uncertainty, and social choice. He also works in mathematics, in the fields of probability, dynamics and group theory. Although these topics seem diverse, they are connected in many ways. For example, graphs and their geometry are important in economic learning models as well as in probability and ergodic theory.

Before arriving at Caltech, Tamuz was a Schramm Postdoctoral Fellow at MIT and Microsoft Research New England. He has worked in various software startups as an algorithm developer, chief scientist, and R&D manager. He earned his MSc and PhD in mathematics from the Weizmann Institute (2013) and his BSc from Tel Aviv University (2006), where he was also part of an astronomy research team studying extrasolar planets and binary star systems. He is the recipient of a National Science Foundation CAREER Award (2020), a Sloan Research Fellowship in Mathematics (2020), and the Caltech Division of the Humanities and Social Sciences Brass Teaching Award (2019).