Published multiple papers including 'Evolutionary Prediction Games', 'Incentivizing Quality Text Generation via Statistical Contracts', and has served as a program committee member or reviewer for several international conferences.
Research Experience
Before his doctoral studies, he was a research scientist at the Facebook Core Data Science group.
Education
PhD student at the Technion - Israel Institute of Technology, advised by Nir Rosenfeld; soon to start a postdoctoral appointment at Caltech. Received BSc (CS and Physics) and MSc (Theoretical Computer Science) from the Technion, where he was advised by Eli Ben-Sasson and supported by the Lapidim undergraduate scholarship.
Background
Research interests include machine learning and algorithmic decision making in social contexts, with a particular focus on developing socially-favorable learning algorithms for behavioral environments with dynamics and incentives.
Miscellany
Has been a teaching assistant for courses such as 'Advanced Topics in Machine Learning and Human Behavior', 'Workshop in Competitive Programming', and 'Numerical Analysis'.