Michael Jong Kim, PhD
Mike Kim joined the University of Toronto as an Assistant Professor of Industrial Engineering in 2015. He holds a PhD (2012) from the University of Toronto, and was previously an NSERC Postdoctoral Fellow at the University of California Berkeley (Industrial Engineering and Operations Research) and the National University of Singapore Business School (Decision Sciences) from 2012-2014.
His research focuses on the interplay between statistical learning (i.e. learning from data) and dynamic optimization (i.e. making adaptive decisions), with applications to problems that arise in operations research, business analytics, and maintenance and reliability. His work has appeared in journals such as Operations Research and Management Science.