Published multiple papers in international conferences such as EC 2025, NeurIPS 2024, NeurIPS 2023, and WWW 2022, and received the INFORMS 2025 Award Session for Selected Auctions & Market Design Papers from EC 2025.
Research Experience
Currently an Assistant Research Professor of Computer Science and Economics at the Center for Data Science for Enterprise and Society at Cornell University, mentored by David Easley, Éva Tardos, and Robert Kleinberg.
Education
Ph.D. in Computer Science from the Hebrew University of Jerusalem, advised by Noam Nisan; B.Sc. and M.Sc. in Physics from the Hebrew University of Jerusalem, supervised by Sorin Solomon; Bachelor's degree in music from the Jerusalem Academy of Music, studied classical and Jazz double bass with Michael Klinghoffer.
Background
Interested in the intersection of machine learning, algorithmic game theory, dynamical systems, and networks, with a focus on learning and strategic play in multi-agent systems. Specifically, his research examines how algorithmic learning agents impact markets, game dynamics, and user incentives.
Miscellany
In addition to his academic pursuits, he has a background in music, having studied classical and Jazz double bass at the Jerusalem Academy of Music.