At the Café Mathématique, find out how a panel of experts apply mathematics to unexpected areas of discovery. The Café is free and open to the general public.

Panelists:

Catherine Beauchemin
Professor, Physics Department, Ryerson University
Senior Visiting Scientist, iTHEMS @ RIKEN

Seyed Moghadas
Associate Professor, Mathematics & Statistics, York University
Director, Pan-InfORM

David Fisman
Professor, Dalla Lana School of Public Health, University of Toronto

Edward Thommes
Director, Health Economics and Outcomes Research North America, Sanofi Pasteur
Adjunct Professor, Mathematics & Statistics, Guelph University

Moderator:

Jane Heffernan
York Research Chair & Professor, Mathematics & Statistics, York University
Director, Centre for Disease Modelling - Ontario

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Infectious disease modelling is a field of applied mathematics that involves the development and analysis of mathematical models, dynamical systems, and computer simulations, so that characteristics of infectious diseases can be uncovered. Given the recent advances in public health contact tracing methods, laboratory detection and sequencing methods, computer hardware, and the diverse nature of data sources mathematical modelling provides the necessary tools to understand the complexities of infectious disease over many scales, from within a person, to a population, and provides the means on which predictions and forecasts of the effectiveness of public health, pharmaceutical and medical interventions can be made. The field is well known in research communities globally, but disease modeling (and even Mathematical Biology in general) is not well known to the general population. Café Mathématique raises awareness about the application and relevance of mathematics.