James Hay
Research Fellow at University of Oxford
United Kingdom
Summary
👤
Senior🎓
Top SchoolJames Hay is a Research Fellow at the University of Oxford with 11 years' experience applying mathematical and statistical models to infectious disease epidemiology, combining life sciences training with a Distinction MSc in Computer Science and a PhD from Imperial College. He develops next-generation epidemiological analytics using individual-level virologic and serologic data, translating complex assays into actionable insights for public health policy. Previously a postdoc at Harvard Chan and a doctoral researcher at Imperial, he has a strong track record in quantitative method development, teaching, and mentoring. James has secured competitive funding (Wellcome Trust Early Career Award) and regularly reviews for journals, reflecting both technical excellence and community engagement. An often-overlooked strength is his ability to bridge rigorous computational implementation (R/C++) with biological intuition, enabling clearer interpretation of antigenically variable pathogen dynamics.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Infectious Disease Epidemiology, Doctor of Philosophy - PhD, Infectious Disease Epidemiology at Imperial College LondonBachelor of Arts - BA, Natural Sciences, 2.1, Bachelor of Arts - BA, Natural Sciences, 2.1 at University of CambridgeKing's School Macclesfield
French, English
Github Skills (16)
ferret9
r-package9
inference8
r7
kinetics6
simulation-framework5
allocation4
infrastructure2
markov-chain2
monte-carlo2
k3d2
bayesian-methods1
kubernetes1
cri-o1
cloud-native1
Programming languages (2)
Github contributions (5)
jameshay218/jahR
Jun 2021 - Jan 2023
Contributions:6 commits, 12 pushes in 1 year 6 months
jameshay218/virosolver
Oct 2020 - Sep 2021
R package to infer epidemic dynamics from virological data
Contributions:4 releases, 83 commits, 1 PR in 11 months
rr-package
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