Joel A. Tropp
Steele Family Professor of Applied and Computational Mathematics
algorithms, numerical analysis, statistics, random matrix theory
Joel Tropp's work lies at the interface of applied mathematics, electrical engineering, computer science, and statistics. This research concerns the theoretical and computational aspects of data analysis, sparse modeling, randomized linear algebra, and random matrix theory.