Imperial College London


Faculty of MedicineSchool of Public Health

Senior Research Software Engineer







1347 Praed StreetSt Mary's Campus





I work on math models of disease transmission and ML-based surrogates for inference and optimisation, my areas of interest include: time-series prediction, transformers for time-series, Approximate Bayesian Inference, differential equations, differentiable agent based models, optimal control and JAX development.

I also work with global health researchers in the Department for Infectious Disease Epidemiology to inform malaria elimination strategies - how, where and when should resources be invested to most effectively reduce the global case burden and eventually eradicate Plasmodium parasites, and implement spatial and temporal disease models.



Topazian HM, Schmit N, Gerard-Ursin I, et al., 2023, Modelling the relative cost-effectiveness of the RTS,S/AS01 malaria vaccine compared to investment in vector control or chemoprophylaxis., Vaccine, Vol:41, Pages:3215-3223

Schmit N, Topazian H, Pianella M, et al., 2023, Resource allocation strategies to achieve malaria eradication, Elife, ISSN:2050-084X

Olivera Mesa D, Hogan A, Watson O, et al., 2022, Modelling the impact of vaccine hesitancy in prolonging the need for Non-Pharmaceutical Interventions to control the COVID-19 pandemic, Communications Medicine, Vol:2, ISSN:2730-664X

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