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.



Knock ES, Whittles LK, Lees JA, et al., 2021, Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England, Science Translational Medicine, Vol:13, ISSN:1946-6234, Pages:1-12

Laydon D, Dorigatti I, Small R, et al., 2021, Efficacy profile of the CYD-TDV dengue vaccine revealed by Bayesian survival analysis of individual-level Phase III data, Elife, Vol:10, ISSN:2050-084X

Volz E, Mishra S, Chand M, et al., 2021, Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England, Nature, Vol:593, ISSN:0028-0836, Pages:266-269

Laydon D, Mishra S, Hinsley W, et al., 2021, Modelling the impact of the Tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns, Bmj Open, Vol:11, ISSN:2044-6055

Nouvellet P, Bhatia S, Cori A, et al., 2021, Reduction in mobility and COVID-19 transmission, Nature Communications, Vol:12, ISSN:2041-1723

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