Ohad Shamir

Bio: Ohad Shamir is a professor at the Weizmann Institute of Science, and a visiting professor at the University of Toronto, with previous research roles at Microsoft and Google. His work focuses on theoretical machine learning, in areas such as theory of deep learning, the intersection of machine learning and optimization, and learning under information and communication constraints. He served as a program co-chair of the Conference on Learning Theory (COLT), as well as a member of its steering committee, and as an action editor of the Journal of Machine Learning Research (JMLR). His honors include the inaugural 2024 Prize in the Mathematics of Artificial Intelligence, several best paper awards, the Hebrew University’s PhD thesis prize, and a €1.5 million ERC grant.