Research interests:  Functional Analysis and Operator Theory (especially dynamics of linear operators); connections with additive combinatorics, ergodic theory, and nonstandard analysis. More recently, my work explores how operator-theoretic dynamics inform the theoretical foundations of deep learning, particularly in interpolation, regularization, and structured representation learning. 


Deep Learning





Pure Mathematics














Latinx Research Project, Caltech, CA