Kim-Chuan Toh

Kim-Chuan Toh is a Professor of Mathematics at the National University of Singapore (NUS), specializing in algorithmic design for convex and matrix optimization problems. His work bridges theoretical mathematics with practical applications in data science and computational engineering.

Educational background:

• BSc in Mathematics, National University of Singapore (1990)
• PhD in Applied Mathematics, Cornell University (1996) under Nick Trefethen

Research focuses on:

• Efficient algorithms for convex programming and large-scale optimization
• Semidefinite programming (SDP) and quadratic SDP
• Matrix optimization techniques for data science applications
• Software development for high-performance computational mathematics
• Scalable solutions to industrial-scale optimization challenges
• Numerical methods in mathematical programming

He serves as Area Editor for Mathematical Programming Computation and Associate Editor for SIAM Journal on Optimization, contributing significantly to the optimization research community through editorial leadership and peer review.

Professional engagement includes:

• Secretary of SIAM Activity Group on Optimization
• Invited speaker at SIAM Annual Meeting (2010) and International Symposium on Mathematical Programming (2006)
• Program committee roles for ICCOPT (2007) and SIAM Conference on Optimization (2011)
• Cluster chair for ISMP 2009, 2012 and ICCOPT 2016
• Visiting Scientist at Simons Institute's Fall 2017 program on Bridging Continuous and Discrete Optimization