Shay Moran's research interests lie on the spectrum between combinatorics and theoretical computer science. These include complexity theory, theoretical machine learning, discrete geometry, and extremal combinatorics. In his PhD, he studied different aspects of data compression and representation – mostly in the contexts of machine learning and interactive communication complexity. In the past two years, he has mostly focused on theoretical machine learning.
- Foundations of Machine Learning, Spring 2017. Research Fellow.