Omer Tamuz

Omer Tamuz is a Professor of Economics and Mathematics at the California Institute of Technology, affiliated with the Division of Physics, Mathematics and Astronomy. His research focuses on Probability and its applications to Economics, as well as Dynamical Systems, Group Theory, and Ergodic Theory. He is also interested in Machine Learning and Statistics. Tamuz holds a B.Sc. from Tel Aviv University (2006), an M.Sc. from the Weizmann Institute of Science (2010), and a Ph.D. (2013). He served as an Assistant Professor at Caltech from 2015 to 2019 and was promoted to Professor in 2019.

Omer Tamuz is a researcher at Caltech whose work spans machine learning, social learning, and information aggregation in social networks. His research interests include the dynamics of opinion exchange, strategic learning, and the topology of social networks. Tamuz has explored how information spreads and is aggregated in social systems, with a focus on majority dynamics and Bayesian learning. His publications also touch on topics such as information cascades, rational groupthink, and the design of fair division mechanisms. Additionally, he has contributed to astrophysics by analyzing photometric light curves and extrasolar planets. His work emphasizes the interplay between learning, social structures, and decision-making processes.