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Plenary Speakers

Wednesday, July 26, 10-11am

Healthcare in Ontario: Using Quantitative Decision Tools to Achieve Goals

Matthew Anderson

President and CEO
Ontario Health

About Matthew Anderson

Matthew Anderson, President and CEO of Ontario Health, is committed to the organization’s vision of Health and Wellness for all. This includes a focus on equity, diversity, anti-racism, and inclusion in all we do.

Ontario Health was created by the Government of Ontario to connect, coordinate, and modernize the province’s health care system. Working closely with partners, providers and patients, accountabilities at Ontario Health include overseeing the delivery and quality of clinical care services, managing funding and accountability for many parts of the health system, and focusing on building positive and collaborative relationships with patients and caregivers, system providers, partners and health care professionals across Ontario.

Prior to being appointed as the first President and CEO of Ontario Health in 2020, Matthew was the President and CEO at Lakeridge Health; President and CEO at the William Osler Health System – both large community hospitals; CEO at the Toronto Central Local Health Integration Network; and Senior Vice-President, Technology and Performance at the University Health Network.

Matthew’s education includes a Bachelor of Arts (BA) from the University of New Brunswick, and a Master’s in Health Science (MHSc) from the University of Toronto.

Matthew’s passions include family, travel/camping and his numerous pets.


Thursday, July 27, 10-11am

Got (Optimal) Milk?

Timothy Chan

University of Toronto

Human donor milk is considered the ideal nutrition for millions of infants that are born preterm each year. Donor milk is collected, processed, and distributed by milk banks. The macronutrient content of donor milk is directly linked to infant brain development and can vary substantially across donations, which is why multiple donations are typically pooled together to create a final product. Approximately half of all milk banks in North America do not have the resources to measure the macronutrient content of donor milk, which means pooling is done heuristically. We propose a data-driven framework combining machine learning and optimization to predict macronutrient content of deposits and then optimally combine them in pools, respectively. In collaboration with our partner milk bank, we collect a data set of milk to train our predictive models. We rigorously simulate milk bank practices to fine-tune our optimization models and evaluate operational scenarios such as changes in donation habits during the COVID-19 pandemic. Finally, we conduct a yearlong trial implementation, where we observe the current nurse-led pooling practices followed by our intervention. Pools created by our approach meet clinical macronutrient targets between 31% and 76% more often than the baseline, while taking 67% less recipe creation time. This is the first paper in the broader blending literature that combines machine learning and optimization. We demonstrate that such pipelines are feasible to implement and can yield significant improvements over current practices. Our insights can guide practitioners in any application area seeking to implement machine learning and optimization-based decision support.

About Timothy Chan

Timothy Chan is the Associate Vice President and Vice Provost, Strategic Initiatives of the University of Toronto, the Canada Research Chair in Novel Optimization and Analytics in Health, a professor in the department of Mechanical and Industrial Engineering, and a Senior Fellow of Massey College. 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.


Friday, July 28, 10-11am

The Application of Artificial Intelligence in Healthcare

Muhammad Mamdani, PharmD, MA, MPH

Vice President of Data Science and Advanced Analytics
Unity Health Toronto

Temerty Faculty of Medicine Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto 

While the application of artificial intelligence (AI) has transformed numerous sectors, including retail, transportation, and hospitality, its application to health has been limited. The Toronto community is well positioned to advance AI research and application given its strengths in relevant disciplines such as medicine, allied health, computer science, mathematics, engineering, and statistics. This talk will provide an overview of the newly established Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) of the University of Toronto and present examples of applied AI research and translation. A particular focus on AI translation will be provide attendees with a deeper appreciation of the complexity of AI applications in health.

About Muhammad Mamdani

Dr. Mamdani is vice president of Data Science and Advanced Analytics at Unity Health Toronto and director of the University of Toronto Temerty Faculty of Medicine Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM). Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision-making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also a professor in the Department of Medicine of the Temerty Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana Faculty of Public Health. He is also an adjunct senior scientist at the Institute for Clinical Evaluative Sciences (ICES) and a faculty affiliate of the Vector Institute. In 2010, Dr. Mamdani was named among Canada’s Top 40 under 40. He has published more than 500 studies in peer-reviewed medical journals. Dr. Mamdani obtained a Doctor of Pharmacy degree (PharmD) from the University of Michigan (Ann Arbor) and completed a fellowship in pharmacoeconomics and outcomes research at the Detroit Medical Center. During his fellowship, Dr. Mamdani obtained a Master of Arts in economics from Wayne State University in Detroit, Michigan, with a concentration in econometric theory. He then completed a Master of Public Health from Harvard University with a concentration in quantitative methods.