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".



Johnson R, Djaafara B, Haw D, et al., 2023, The societal value of SARS-CoV-2 booster vaccination in Indonesia, Vaccine, Vol:41, ISSN:0264-410X, Pages:1885-1891

Haw DJ, Morgenstern C, Forchini G, et al., 2022, Data needs for integrated economic-epidemiological models of pandemic mitigation policies, Epidemics: the Journal of Infectious Disease Dynamics, Vol:41, ISSN:1755-4365, Pages:1-9

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

Johnson R, Jackson C, Presanis A, et al., 2022, Quantifying Efficiency Gains of Innovative Designs of Two-Arm Vaccine Trials for COVID-19 Using an Epidemic Simulation Model, Statistics in Biopharmaceutical Research, Vol:14, ISSN:1946-6315, Pages:33-41

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