Ph.D. Student ,
University of Toronto
Kuilin Chen is currently a Ph.D. student supervised by Prof. Chi-Guhn Lee at University of Toronto. His research interests are development of digital twins for manufacturing processes using deep learning and advanced optimization methods.
Kuilin is also a senior process automation engineer at ArcelorMittal Dofasco with more than five years’ experience of statistical model development, big data analytics and C++ software development. Before joining ArcelorMittal Dofasco, Kuilin obtained his M.A.Sc degree in statistical process control from McMaster University.