Imperial College London


Faculty of EngineeringDepartment of Computing

Lecturer in Computing



+44 (0)20 7594 8241c.tsay Website




560Huxley BuildingSouth Kensington Campus





I am a Lecturer (US Assistant Professor) in the Computational Optimisation Group within the Department of Computing. My research interests are in the areas of optimisation algorithms, process dynamics/control, optimisation for machine learning, and process systems engineering.

Please view my research page for more information.


Date Role

2022 - Present

Lecturer (Assistant Professor) in Computing, Imperial College
2020 - 2023 EPSRC David Clarke Fellow, Imperial College
2020 - 2022 Imperial College Research Fellow, Imperial College
2020 PhD, University of Texas at Austin
2015 BS/BA, Rice University

Selected Publications

Journal Articles

Ceccon F, Jalving J, Haddad J, et al., 2022, OMLT: Optimization & Machine Learning Toolkit, Journal of Machine Learning Research, Vol:23, ISSN:1532-4435

Thebelt A, Tsay C, Lee R, et al., 2022, Multi-objective constrained optimization for energy applications via tree ensembles, Applied Energy, Vol:306, ISSN:0306-2619, Pages:1-15

Tsay C, 2021, Sobolev trained neural network surrogate models for optimization, Computers & Chemical Engineering, Vol:153, ISSN:0098-1354, Pages:1-14

Tsay C, Baldea M, 2020, Integrating production scheduling and process control using latent variable dynamic models, Control Engineering Practice, Vol:94, ISSN:0967-0661

Tsay C, Kumar A, Flores-Cerrillo J, et al., 2019, Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models, Computers & Chemical Engineering, Vol:126, ISSN:0098-1354, Pages:22-34

More Publications