Shay Moran, Ph.D.

Shay Moran is a postdoctoral researcher at the Institute for Advanced Study. He received his Ph.D. from the Technion, Israel Institute of Technology, at Haifa, Israel, in 2016, under the supervision of Amir Shpilka and Amir Yehudayoff.

His research focuses on combinatorics and theoretical computer science with a focus on machine learning. His doctoral thesis, titled “Generalization and simplification in machine learning,” studies equivalences between two well-studied notions of learnability: a combinatorial notion known as ‘sample compression,’ which captures simplification, and a statistical notion known as ‘probably approximately correct learning,’ which captures generalization.