Imperial College London


Faculty of MedicineSchool of Public Health

Research Associate







VB11Norfolk PlaceSt Mary's Campus





I currently work for Professor Katharina Hauck on DAEDALUS - an integrated epidemic and economic model to evaluate public-health interventions in response to pandemics. Applications include models curated for countries currently making policy decisions to respond to the ongoing COVID-19 pandemic, and assessing the return on investment of preparations made for future pandemics.

Previously, at the MRC Biostatistics Unit, I worked on developing network epidemic models to assess adaptive trial designs for vaccines, and on integrated transport and health-impact modelling (ITHIM). I completed my PhD in the Theoretical Systems Biology group of Imperial College London under the supervision of Professor Michael Stumpf, with thesis title "Probabilistic modelling of noise as a driving force in biological systems".



Haw D, Forchini G, Doohan P, et al., 2022, Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS, Nature Computational Science, Vol:2, ISSN:2662-8457, Pages:223-233

Jackson C, Johnson R, de Nazelle A, et al., 2021, A guide to value of information methods for prioritising research in health impact modelling, Epidemiologic Methods, Vol:10, ISSN:2194-9263, Pages:1-22

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

Ragonnet-Cronin M, Boyd O, Geidelberg L, et al., 2021, Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions, Nature Communications, Vol:12, ISSN:2041-1723, Pages:1-7

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