Summary
Matthew Denwood is a Professor of Computational and Statistical Disease Modelling with 12 years of experience applying quantitative epidemiology to animal health, production and One Health problems. Trained as a veterinarian with a PhD in Quantitative Veterinary Epidemiology, he combines domain insight with advanced biostatistics, C++/SQL programming and stochastic modelling to extract robust signals from over-dispersed and complex secondary datasets. He has led government-advisory and international collaborations, translating computationally intensive methods into practical surveillance and policy-relevant outputs. An active open-source advocate, he maintains R packages on CRAN/GitHub and contributes to tools like JAGS, ensuring reproducible workflows for others. Colleagues rely on his knack for spotting subtle biases in registries and diagnostic data—an underappreciated skill that often determines whether an analysis is actionable.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Quantitative Veterinary Epidemiology, Doctor of Philosophy (PhD), Quantitative Veterinary Epidemiology at The University of Glasgow
Danish, English