This project will develop policy-driven mathematical models, statistical models and/or phylogenetic analysis to answer a pressing infectious disease public health question.

While the exact project can be tailored to the successful candidate’s interest and specific skill set, possible research topics including:

Phylogenetics or statistical modelling of drug resistance spread in pneumococcus in Vietnam with and without vaccination
Mathematical modelling of RSV disease after vaccination strategy implementation
Phylogenetics as a tool for improved strategies to achieve HIV elimination
Combining phylogenetics, mathematical modelling and statistical modelling to understand direction of transmission
The project will use an interdisciplinary combination of mathematical or statistical modelling, genetic sequence data analysis, epidemiology, model fitting, and/or phylogenetic analysis. The candidate will develop their quantitative skills using phylogenetic, statistical and mathematical analysis. The student will develop or extend their programming expertise in languages, such as R or Python. Emphasis will be placed on developing and sharing code for the wider scientific community through platforms such as GitHub.