Professor Timothy Chan, PhD
Timothy Chan is an Associate Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto and Director of the Centre for Research in Healthcare Engineering. He received his BSc in Applied Mathematics from the University of British Columbia (2002), and his PhD in Operations Research from the Massachusetts Institute of Technology (2007). Professor Chan was an Associate in the Chicago office of McKinsey and Company, a global management consulting firm (2007-2009). During that time, he advised leading companies in the fields of medical device technology, travel and hospitality, telecommunications, and energy on issues of strategy, organization, technology and operations.
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), second place in the INFORMS Section on Public Programs, Service and Needs best paper competition (2012), 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.
Professor Vahid Sarhangian, PhD
Associate Director, CHE
Vahid Sarhangian is an Assistant Professor in the Department of Mechanical and Industrial Engineering (MIE) at the University of Toronto and Associate Director of the Centre for Research in Healthcare Engineering. He holds a PhD in Operations Management from the Rotman School of Management, University of Toronto (2015). Before joining MIE, he was a Postdoctoral Research Scholar at the division of Decision, Risk, and Operations at Columbia Business School (2015-2017).
Professor Sarhangian’s primary research interests are in data-driven modelling and control of stochastic processing networks that arise in healthcare and service delivery systems. His current research focuses on using data together with mathematical models to develop innovative and evidence-based methods for improving patient flow in hospitals, and managing the supply chain of blood products and surgical supplies.
Ken K.Y. Wong
Ken Wong joined the team in July 2015. He has science degrees from Carleton University, University of Ottawa and Université Laval, and has worked as a researcher at the Biotechnology Research Institute, the University of British Columbia and the New Zealand Forest Research Institute Ltd, and as an adviser at the Royal University of Phnom Penh and the Scientific Research Organisation of Samoa. Having returned to Canada in early 2015, he is keen to learn about and contribute to healthcare engineering and related sectors.
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