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 (COG) within the Department of Computing, supported by an EPSRC David Clarke Fellowship. 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 - Present 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

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