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.
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|
et al., 2022, OMLT: Optimization & Machine Learning Toolkit, Journal of Machine Learning Research, Vol:23, ISSN:1532-4435
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
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