About me
Senior Research Software Engineer
I develop Agent Based Models, scalable Bayesian inference, and neural network based surrogates for inference and optimisation.
My research areas of interest include: the Transformer architecutre, differential equations, continuous flow models, and JAX development.
Projects
- Tokenised Flow Matching for Hierarchical Simulation Based Inference (Pre-print soon)
- Linear-time Spatial Modelling (In progress)
- Machine Learning and Global Health Workshop (ICLR 2023) - Co-organiser and Fundraiser
Software
- individual - C++ library for agent based modelling in R
- malariasimulation - an agent based model of malaria transmission
Publications
Challenger, J. D., van Beek, S. W., Ter Heine, R., van der Boor, S. C., Charles, G. D., Smit, M. J., … Others. (2023). Modeling the Impact of a Highly Potent Plasmodium falciparum Transmission-Blocking Monoclonal Antibody in Areas of Seasonal Malaria Transmission. The Journal of Infectious Diseases, jiad101.
Schmit, N., Topazian, H. M., Pianella, M., Charles, G. D., Winskill, P., White, M., … Ghani, A. C. (2023). Resource allocation strategies to achieve malaria eradication. MedRxiv, 2023–2004.
Topazian, H. M., Schmit, N., Gerard-Ursin, I., Charles, G. D., Thompson, H., Ghani, A. C., & Winskill, P. (2023). Modelling the relative cost-effectiveness of the RTS, S/AS01 malaria vaccine compared to investment in vector control or chemoprophylaxis. Vaccine, 41(20), 3215–3223.
Charles, G., Wolock, T. M., Winskill, P., Ghani, A., Bhatt, S., & Flaxman, S. (2022). Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. ArXiv Preprint ArXiv:2209. 09617.
Hogan, A. B., Wu, S. L., Doohan, P., Watson, O. J., Winskill, P., Charles, G., … Others. (2022). The value of vaccine booster doses to mitigate the global impact of the Omicron SARS-CoV-2 variant. MedRxiv, 2022–2001.
Olivera Mesa, D., Hogan, A. B., Watson, O. J., Charles, G. D., Hauck, K., Ghani, A. C., & Winskill, P. (2022). Modelling the impact of vaccine hesitancy in prolonging the need for Non-Pharmaceutical Interventions to control the COVID-19 pandemic. Communications Medicine, 2(1), 14.
Charles, G. D., & Wu, S. L. (2021). individual: An R package for individual-based epidemiological models. Journal of Open Source Software, 6(66), 3539.
Mesa, D. O., Hogan, A., Watson, O., Charles, G., Hauck, K., Ghani, A. C., & Winskill, P. (2021). Quantifying the impact of vaccine hesitancy in prolonging the need for Non-Pharmaceutical Interventions to control the COVID-19 pandemic.