Imperial College London


Faculty of MedicineSchool of Public Health

GIS/Database/HPTC Analyst Tech Support



+44 (0)20 7594 3269w.hinsley




G31Norfolk PlaceSt Mary's Campus





I provide technical help with high-performance computing, cluster support, large dataset issues, database handling and general programming assistance to members of the MRC Centre for Outbreak Analysis, in the Department of Infectious Diseases and Epidemiology in St. Mary's. I also am continuing development of the Global Epidemic Simulator: a platform for modelling of directly-transmitted infectious diseases such as influenza. Simulations are individual-based, involving the travel moments and interactions between infected and susceptible people.

My background is Computer Engineering, with an M.Eng and Ph.D from Imperial College Department of Computing. My main areas of experience are software engineering, code-generating compilers (auto-programming), and individual-based modelling. Previously I designed the Virtual Ecology Workbench (VEW), a suite of tools for creating individual-based plankton ecosystem models.



Nyberg T, Ferguson NM, Blake J, et al., 2022, Misclassification bias in estimating clinical severity of SARS-CoV-2 variants - Authors' reply., Lancet, Vol:400, Pages:809-810

Laydon DJ, Cauchemez S, Hinsley WR, et al., 2022, Prophylactic and reactive vaccination strategies for healthcare workers against MERS-CoV

Nyberg T, Ferguson NM, Nash SG, et al., 2022, Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study, The Lancet, Vol:399, ISSN:0140-6736, Pages:1303-1312

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