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Calvin Tsay is an Associate Professor in the Department of Computing at Imperial College London, leading the Computational Optimisation Group. His fundamental research interests lie in optimization learning methods, sequential decision making, and dealing with uncertainty. He focuses on areas such as mixed-integer programming and statistical learning. Tsay's work extends to various application domains, including chemical engineering, artificial intelligence, process scheduling, control systems, demand-side management, and energy systems. He has been involved in significant research positions at Imperial College London, including a fellowship with EPSRC and roles as an Imperial College Research Fellow. Tsay’s academic journey began with a PhD from the University of Texas at Austin and a Bachelor’s degree from Rice University. Throughout his career, he has aimed to bridge the gap between theoretical advances in optimization and practical applications in various engineering fields.
Imperial College London • London, United Kingdom
Leading the Computational Optimisation Group.
BASF/RAEng • Imperial College London, United Kingdom
Imperial College London • United Kingdom
Imperial College London • United Kingdom
Imperial College London • United Kingdom
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.