Peter Skelsey is a Research Leader and computational epidemiologist based in Dundee with eight years of focused experience translating data mining, AI/ML, GIS and simulation modelling into actionable policy tools. He has designed and implemented five national early warning systems now used by Scottish and UK governments, and currently leads multiple strategic research themes and a principal project on pest and disease epidemiology under Scotland’s 2022–2027 programme. Equally at home in academic and government-facing roles, he has a strong track record of securing competitive funding, supervising PhD students, and publishing peer-reviewed science. A PhD-trained spatial epidemiologist, Peter combines practical decision-support tool development with interdisciplinary leadership across climate change, integrated pest management and surveillance systems—often turning complex spatial data into operational forecasts.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Epidemiological Modelling, Doctor of Philosophy - PhD, Epidemiological Modelling at Wageningen University & Research
Contributions:1 release, 287 pushes, 10 branches in 3 years 4 months
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