Kim-Chuan Toh

Kim-Chuan Toh is Professor at the National University of Singapore Department of Mathematics. His research focuses on matrix optimization, semidefinite programming, and large-scale optimization algorithms. He develops efficient numerical methods for convex optimization problems with applications in data science.

Research includes Bregman proximal methods, sparse optimization, adaptive dimension reduction, and algorithms for structured optimization problems. His work bridges theoretical optimization and computational mathematics for scalable problem-solving.