Callum Arnold is a Postdoctoral Fellow and infectious disease modeller with eight years of experience applying mathematical biology to respiratory infections and intervention strategies. He completed a PhD in Mathematical Biology at Penn State and holds an MSc in Global Health Policy from LSHTM, combining quantitative modelling with policy-minded insight. His work spans multi-centre clinical data coordination and statistical analysis—experience gained at The Hospital for Sick Children—through to leading modelling projects on waning immunity and outbreak mitigation. Now based in Toronto, he bridges rigorous computational methods with practical public health questions, often translating complex model results into actionable recommendations. Outside academe he has a history of coaching and teaching that informs his collaborative approach and skill for communicating technical results to diverse audiences. A detail not always apparent: he pairs advanced modelling with hands-on data management across lab and public health partners, ensuring models are grounded in real-world laboratory and surveillance data.
8 years of coding experience
3 years of employment as a software developer
Kingsbridge Community College
Master's Degree Chemistry, Master's Degree Chemistry at University of Oxford
Doctor of Philosophy - PhD Mathematical Biology, Doctor of Philosophy - PhD Mathematical Biology at Penn State University
MSc Global Health Policy, MSc Global Health Policy at London School of Hygiene and Tropical Medicine, U. of London
Contains materials for Module 2 of the 2023 SISMID workshop
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Callum Arnold - Postdoctoral Fellow at University of Toronto