My research is concerned with understanding the way bacterial pathogens evolve, spread and cause disease. I have analysed both epidemiological and genomic data from a wide range of bacteria. A key aim is to develop new bioinformatics and statistical methods that can handle the very large amounts of data made available by novel high-throughput sequencing techniques.
Because of the interdisciplinary nature of my work, I have broad interests in a variety of subjects, including theoretical topics such as mathematical population genetics, Bayesian statistics or Monte-Carlo methods, and biological topics such as bacterial evolutionary processes or pathogen epidemiology.
I have worked on a wide range of bacterial pathogens, especially those causing healthcare associated infections (eg Clostridium difficile and Staphylococcus aureus) and gastrointestinal infections (eg Salmonella enterica, Bacillus cereus, Campylobacter jejuni and Helicobacter pylori).
I share my time equally between the School of Life Sciences and the Department of Statistics. I am also a member of the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER).