The Positive Effect of Garbling on Social Learning
with Itai Arieli, Yakov Babichenko R&R at Journal of Economic Theory
Anonymous Network Formation
with Itai Arieli, Leonie Baumann
Publications
Network and Timing Effects in Social Learning (2025)
with Minghao Pan, Omer Tamuz Economics and Computation (EC25)
Anonymous Network Formation (2025)
with Itai Arieli, Leonie Baumann Economics and Computation (EC25)
Information Cascades in Strategic Environments (2024)
with Alejandro Robinson-Cortés Stony Brook Conference on Game Theory
Luce Contracts (2024)
with Sumit Goel Midwest Economic Theory Conference; EC24; R&R at Games and Economic Behavior
Project Selection with Partially Verifiable Information (2024)
with Sumit Goel Mathematical Social Sciences
Optimality of the Coordinate-Wise Median Mechanism for Strategyproof Facility Location in Two Dimensions (2022)
with Sumit Goel Social Choice and Welfare
Additive Conjugacy and the Bohr Compactification of Orthogonal Representations (2021)
with Zachary Chase, Omer Tamuz Mathematische Annalen
A Deterministic Protocol for Sequential Asymptotic Learning (2018)
with Yu Cheng, Omer Tamuz IEEE International Symposium on Information Theory (ISIT)
The Speed of Sequential Asymptotic Learning (2018)
with Vadim Martynov, Omer Tamuz Journal of Economic Theory
Presentations
Midwest Economic Theory Conference, Penn State, 2025
Stony Brook International Conference on Game Theory, 2025
Conference on Economics and Computation (EC), 2025
Conference on Network Science in Economics, 2025
Stony Brook International Conference on Game Theory, 2024
Conference on Economics and Computation (EC), 2024
Midwest Economic Theory Conference, IUPUI, 2024
Workshop on Internet and Network Economics (WINE), 2022
Winter School in Economics (Delhi School of Economics), 2019
Summer School in Economics (Hokkaido University), 2019
Conference on Economics and Computation (EC), 2019
IEEE International Symposium on Information Theory (ISIT), 2018
Research Assistantships
RA for Omer Tamuz (2016–2017)
Worked on theory and mathematics projects including anonymous network games and amenable group actions.
Co-authored “The Speed of Sequential Asymptotic Learning.”
RA for Laura Doval (2019–2020)
Developed software to compute Bayes-coordinated equilibria for normal-form games.
Assisted in proving technical results for an economic theory paper.
Teaching
Introduction to Political Science (TA), Caltech, 2022
Math Camp for Incoming Graduate Students, 2019
A History of Budgetary Politics in the U.S. (TA), Caltech, 2019, 2022
Undergraduate Game Theory (TA), Caltech, 2018, 2022
Introduction to Economics (TA), Caltech, 2023
Data Analytics in Finance (TA), Caltech, 2023
Reviews
Conference on Economics and Computation (EC),
Transactions on Economics and Computation (TEAC),
Games and Economic Behavior (GEB),
Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2024, 2025),
American Economic Journal: Microeconomics (AEJ: Micro),
Journal of Artificial Intelligence Research (JAIR),
Mathematics of Operations Research (MOR),
Journal of Mathematical Economics (JME)
Invited Talks
Workshop on Adaptive Learning and Opinion Dynamics in Social Networks (Bar-Ilan), 2023
Bray Seminar (Caltech), 2023
References
Prof. Omer Tamuz
California Institute of Technology
Department of Humanities and Social Sciences
tamuz@caltech.edu
Prof. Federico Echenique
University of California, Berkeley
Department of Economics
fede@econ.berkeley.edu
Prof. Itai Arieli
Technion
Faculty of Data and Decision Sciences
iarieli@technion.ac.il