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Shay Moran outside by a wall with nature behind it
Shay Moran outside by a wall with nature behind it

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.

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Mathematics & Physical Sciences

The Mathematics and Physical Sciences division supports research aimed at advancing our understanding of fundamental questions in mathematics, physics and computer science. Through grants and collaborations, the division brings together researchers to pursue ambitious ideas, develop new approaches and foster scientific exchange.

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