Calvin Tsay

Calvin Tsay serves as a Lecturer in the Department of Computing at Imperial College London, supported by the BASF/RAEng Senior Research Fellowship in Scale-Bridging Modelling and Optimisation. Previously, he held the EPSRC David Clarke Fellowship and Imperial College Research Fellowship. His academic foundation includes BS and BA degrees from Rice University (USA) and a PhD in Chemical Engineering from The University of Texas at Austin.

His educational background comprises:

• BS and BA from Rice University, USA
• PhD in Chemical Engineering from The University of Texas at Austin

Tsai's research bridges machine learning and mathematical optimisation, focusing on optimisation algorithms, process dynamics/control, and process systems engineering. He specifically targets mixed-integer programming applications where machine learning's scalability meets optimisation's rigour, developing novel algorithmic frameworks for complex engineering systems.

His scientific recognition includes:

• BASF/RAEng Senior Research Fellowship in Scale-Bridging Modelling and Optimisation
• EPSRC David Clarke Fellow
• Imperial College Research Fellow

Current funding stems from the BASF/RAEng Senior Research Fellowship, building on prior EPSRC and Imperial College Research Fellowships. As an SEC scholar (August-September 2024), he collaborates with KTH's Digital Futures initiative to establish sustainable research pipelines, though student advising details remain unspecified in source materials.

He operates within Imperial's optimisation research group and actively partners with KTH's Digital Futures team during his SEC scholar visit, co-developing cross-institutional methodologies with Dr. Jan Kronqvist to synergise machine learning and mathematical optimisation approaches.