Published multiple papers such as 'Machine Learning Should Maximize Welfare, Not (Only) Accuracy' and 'Strategic Classification with Non-Linear Classifiers' in top conferences like NeurIPS and ICML.
Research Experience
Before joining Technion, was a postdoc at Harvard SEAS, working with David Parkes and Yaron Singer. Also a fellow of CRCS and HDSI. Long-term research intern at Microsoft Research in Israel, working with Elad Yom-Tov and Yishay Mansour.
Education
Received BSc (CS and Psychology), MA (CS), and PhD (CS) from the Hebrew University of Jerusalem, advised by Amir Globerson.
Background
Research interests include: modeling and predicting human behavior and social dynamics, learning to support human decision-making, strategic classification and performative prediction, training for human objectives and with humans in the loop, implications of deploying predictive models in social contexts.
Miscellany
Looking for strong, curious students interested in conducting research at the intersection of machine learning and human behavior.