Antibiotic resistance (ABR) is a growing global problem, that requires innovative, cross-disciplinary solutions. Mathematical modelling can be used to integrate data from multiple sources to give novel insights and clinically relevant outputs such as the future impact of public health interventions.

In this project, clinical and experimental data will be combined to parameterise new mechanistic models to explore the reasons for the evolutionary dynamics of ABR. Linking changes in antibiotic use with an evolutionary arms race between bacteria and phage in clinical populations of methicillin resistant Staphylococcus aureus (MRSA), we will design and evaluate new interventions for ABR control such as phage therapy.