Abstract: In this talk, I will present recent work our group has done in knowledge-based planning, including the development of dose prediction and optimization models. I will also discuss the organization and results of the Open Knowledge-Based Planning Challenge (OpenKBP), an AAPM-sponsored international competition to compare dose prediction models on a large open-access dataset of head-and-neck cancer patients. Finally, I will present follow-up work from an international collaboration that extends OpenKBP to include plan optimization.

About the speaker: Timothy Chan is the Canada Research Chair in Novel Optimization and Analytics in Health, a Professor in the department of Mechanical and Industrial Engineering, the Director of the Centre for Analytics and AI Engineering,  the Associate Director, Research and Thematic Programming of the Data Sciences Institute, and a Senior Fellow of Massey College at the University of Toronto. His primary research interests are in operations research, optimization, and applied machine learning, with applications in healthcare, medicine, sustainability, and sports. He received his B.Sc. in Applied Mathematics from the University of British Columbia (2002), and his Ph.D. in Operations Research from the Massachusetts Institute of Technology (2007). Before coming to Toronto, he was an Associate in the Chicago office of McKinsey and Company (2007-2009), a global management consulting firm. 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. 

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