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Professor Xavier Didelot





Life Sciences
University of Warwick
WebLink: Didelot Website

Research Interests

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).


2007: Doctorate in Statistical Genetics, Department of Statistics, University of Oxford
2007: Postdoctoral research fellow, Department of Statistics, University of Warwick
2010: Leadership fellow in genomic microbiology, Department of Statistics, University of Oxford
2012: Senior Lecturer, School of Public Health, Imperial College London
2018: Professor of statistical epidemiology and genomics, School of Life Sciences and Department of Statistics, University of Warwick


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Research Theme:

Biomedical Science