Professor Xavier Didelot
Supervisor Details
Research Interests
My research is focused on the analysis of genomic data in order to improve our understanding of bacterial evolution, epidemiology, ecology and pathogenicity. 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.
Scientific Inspiration
Charles Darwin because nothing in biology makes sense except in the light of his theory of evolution by natural selection.
MIBTP Project Details
This supervisor has no previous projects with MIBTP.