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Xavier Didelot is a Professor of Statistical Epidemiology Genomics at the University of Warwick, with a research focus on understanding the evolution and spread of bacterial pathogens and the development of bioinformatics methods to analyze genomic data. His work aims to improve public health initiatives by providing robust analytical methods for large-scale genomic epidemiological data, particularly in the context of healthcare-associated infections and gastrointestinal pathogens. He is involved in interdisciplinary research in various fields, including population genetics and Bayesian statistics, and leads the Health Protection Research Unit in Genomics Enabling Data, a partnership between the University of Warwick and key public health agencies. He has published extensively in top-tier journals and contributes to the development of open-source software tools aimed at researchers dealing with genomic data.
University of Warwick • Coventry, England
Leading research on bacterial pathogens and genomic epidemiology.
Imperial College London • London, England
Teaching and research in public health.
University of Oxford • Oxford, England
Focused on statistical methods and research in epidemiology.
University of Warwick • Coventry, England
Research on statistical methods in genomics.
A method for inferring the geographic spread of pathogens.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.