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A Guide to COVID-19 Modelling

In his presentation, Eric Cytrynbaum, a member of the BC COVID-19 Modelling Group, will demonstrate how to formulate simple epidemic models. Introducing key concepts, he will explain how they help us understand the progression of a disease. Then, moving to more sophisticated models, he will highlight some examples of how modelling informed by data allows us to forecast the rise of variants and other epidemiological phenomena that have dominated our lives over the last ~two years. There will be lots of time for questions and discussion.

Bio:  Professor Eric Cytrynbaum grew up in Montreal and studied mathematics as an undergraduate at McGill University. He obtained a PhD in Mathematics from the University of Utah (2001) and was a Postdoctoral Fellow at the University of California, Davis (2002-2004). He is currently an Associate Professor of Mathematics at the University of British Columbia. His research focus and expertise are in the development and analysis of mathematical models of phenomena spanning biochemistry, cell biology, and developmental biology. Over the last two years, he has worked with the BC COVID-19 Modelling Group: as both a co-editor of their regular reports and producer of video summaries of the reports (available on YouTube: .

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