Adjunct Professor at The University of British Columbia
Vancouver, British Columbia, Canada
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Summary
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Mike Irvine is a mathematical modeler and adjunct professor with a decade of experience applying Bayesian inference, causal methods, and machine learning to urgent public health crises, including COVID-19 and BC’s toxic drug supply. He combines academic rigour from a PhD in Mathematical Biology with hands-on roles at the BC Centre for Disease Control and Boston Medical Center, translating complex surveillance data into ministerial briefings, economic analyses, and peer-reviewed publications. As a senior scientist and former biostatistical lead, he builds reproducible software tools in R and Python to streamline epidemiological workflows and enable evidence-based policy. Mike’s work sits at the intersection of applied statistics and policy impact—he’s as comfortable leading developer teams and producing software as he is crafting probabilistic models that directly inform public health decisions.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematical Biology, Doctor of Philosophy - PhD, Mathematical Biology at University of Warwick
Contributions:2 pushes, 1 branch, 2 comments in 6 years 6 months
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Mike Irvine - Adjunct Professor at The University of British Columbia