Mike Irvine

Adjunct Professor at The University of British Columbia

Vancouver, British Columbia, Canada
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Summary

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Senior
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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.
code11 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Mathematical Biology, Doctor of Philosophy - PhD, Mathematical Biology at University of Warwick
bookUniversity College London
languagesChinese
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Stackoverflow

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Github Skills (28)

r-package9
variational-inference9
bayesian9
mcmc9
bayesian-inference9
stan8
python8
model-fitting8
probabilistic-programming8
r6
coverage5
codecov5
travis-ci5
bayesian-data-analysis5
recurrent4

Programming languages (5)

RHTMLJupyter NotebookRubyPython

Github contributions (5)

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sempwn/words-project

Jul 2015 - May 2023

Rails app for KCL words project. Generates d3-based graphs of words generated using user-inputted words and descriptions.
Contributions:1 PR, 2 pushes, 2 branches in 7 years 11 months
rails-apprailsrails-enginerubywords
sempwn/LF-model

Nov 2015 - May 2022

Contributions:2 pushes, 1 branch, 2 comments in 6 years 6 months
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