Summary
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.
Publications
Journals
Hartner A-M, Li X, Echeverria-Londono S, et al., 2024, Estimating the health effects of COVID-19-related immunisation disruptions in 112 countries during 2020-30: a modelling study., Lancet Glob Health, Vol:12, Pages:e563-e571
Perez-Guzman PN, Knock E, Imai N, et al., 2023, Author Correction: Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England., Nat Commun, Vol:14
Perez Guzman PN, Knock ES, Imai N, et al., 2023, Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England, Nature Communications, Vol:14, ISSN:2041-1723, Pages:1-9
Gaythorpe K, Fitzjohn R, Hinsley W, et al., 2023, Data pipelines in a public health emergency: the human in the machine, Epidemics: the Journal of Infectious Disease Dynamics, Vol:43, ISSN:1755-4365
Laydon D, Cauchemez S, Hinsley W, et al., 2023, Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study, The Lancet Global Health, Vol:11, ISSN:2214-109X, Pages:e759-e769