A network approach to understanding the spread of antibiotic resistance

Antimicrobial resistance (AMR) can spread through microbial communities via parasites that jump between species, creating complex network of interactions. As such, controlling AMR will benefit from approaches developed for understanding ecological communities and social networks. The project will combine theory and laboratory techniques to do this.