Tom Stewart is an Associate Professor and Senior Research Fellow based in Auckland with 11 years’ experience applying epidemiology to public health challenges, especially physical activity and the environmental determinants of chronic disease. He blends traditional epidemiological methods with big data and machine learning to develop preventative solutions that scale across populations. At AUT’s Human Potential Centre he advises on statistics and leads research translating complex datasets into actionable policy insights. Trained to PhD level in epidemiology, he pairs rigorous quantitative skills with a practical, collaborative approach to interdisciplinary research. Despite calling himself a "dabbler" on GitHub, his work reflects a curiosity for computational methods that inform real-world health interventions.
11 years of coding experience
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at Auckland University of Technology
Contributions:48 commits, 17 pushes, 1 branch in 4 years 3 months
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