Shay Moran

Shay Moran is an Associate Professor at the Faculty of Mathematics, Technion - Israel Institute of Technology, with affiliations to the Faculties of Computer Science and Data and Decision Sciences. They are also affiliated with Google Research in Tel Aviv.

Shay's research interests center on mathematical problems inspired by learning theory and computer science, particularly in areas like machine learning theory, differential privacy, algorithmic stability, and online learning. Their work bridges abstract mathematics with practical algorithm design.

Recent publications highlight trends in reductions between learning models, geometric interpretations of learning problems, and privacy-preserving algorithms. Key themes include sample compression, PAC learnability, boosting mechanisms, and adversarial robustness.

• Best Paper Runner-up, COLT 2021
• Best Paper Award, COLT 2020
• Final Award for Outstanding Paper in Machine Learning

Shay has supervised numerous PhD and Master's students, including Vanessa Kosoy, Liza Nesterova, Hilla Schefler, Alexander Shlimovich, Tom Waknine, and Iska Tsubari. Former advisees include Idan Mehalel (PhD, co-advised with Yuval Filmus) and Zachary Chase (Postdoc).