Timothy Chan, PhD in Operations Research, is the Canada Research Chair in Novel Optimization and Analytics in Health, an Associate Professor in the department of Mechanical and Industrial Engineering, and the Director of the Centre for Healthcare Engineering at the University of Toronto. Professor Chan’s primary research interests are in optimization under uncertainty and the application of optimization methods to problems in healthcare, medicine, global engineering, sustainability, and sports. He received the George B. Dantzig Dissertation Award from INFORMS (2007), an Early Researcher Award from the Ministry of Economic Development and Innovation of Ontario (2012), an Early Career Teaching Award from both the U of T Department of Mechanical and Industrial Engineering (2012) and the U of T Faculty of Applied Science & Engineering (2013), and first place in the MIT Sloan Sports Analytics Conference research paper competition (2013). His research has been featured by the CBC, CTV News, the Toronto Star, and Canadian Business magazine.
Timothy Chan, PhD in Operations Research, is the Canada Research Chair in Novel Optimization and Analytics in Health, an Associate Professor in the department of Mechanical and Industrial Engineering, and the Director of the Centre for Healthcare Engineering at the University of Toronto.
Professor Chan’s primary research interests are in optimization under uncertainty and the application of optimization methods to problems in healthcare, medicine, global engineering, sustainability, and sports. He received the George B. Dantzig Dissertation Award from INFORMS (2007), an Early Researcher Award from the Ministry of Economic Development and Innovation of Ontario (2012), an Early Career Teaching Award from both the U of T Department of Mechanical and Industrial Engineering (2012) and the U of T Faculty of Applied Science & Engineering (2013), and first place in the MIT Sloan Sports Analytics Conference research paper competition (2013). His research has been featured by the CBC, CTV News, the Toronto Star, and Canadian Business magazine.
Engineering Moneyball in Hockey, Baseball and Beyond Prof. Chan’s lecture evaluates how engineering methods can be applied to research in hockey and baseball. In hockey, Chan and his students developed a player classification system for both NHL and junior hockey players. This system can be used to estimate the contribution of different players to their teams and to predict future performance. In baseball, he and a collaborator developed a method to quantify the value of flexible players — those who can play multiple positions — that provides insight into which teams are more resilient to injury risk. Join one of U of T’s most enterprising professors to gain insights on the future of sports analytics!
Engineering Moneyball in Hockey, Baseball and Beyond
Prof. Chan’s lecture evaluates how engineering methods can be applied to research in hockey and baseball. In hockey, Chan and his students developed a player classification system for both NHL and junior hockey players. This system can be used to estimate the contribution of different players to their teams and to predict future performance. In baseball, he and a collaborator developed a method to quantify the value of flexible players — those who can play multiple positions — that provides insight into which teams are more resilient to injury risk.
Join one of U of T’s most enterprising professors to gain insights on the future of sports analytics!
This event is part of the Spring 2018 Speaker series.
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