Professor Daniel Wilson
Research groups
Daniel Wilson
Professor of Infectious Disease Genomics
I am Professor of Infectious Disease Genomics at the University of Oxford. I hold a Robertson Fellowship at the Big Data Institute, part of Oxford Population Health, and serve as Director of Studies in Data Science at the Department for Continuing Education. My research is supported by the Robertson Foundation. I am a collaborator with the Modernising Medical Microbiology consortium based at the John Radcliffe Hospital, Oxford, and Associate Member of the Department of Statistics.
My research interests are in data science, infectious disease and pathogen genomics. I develop new tools for data analysis, and help facilitate infection research through collaborative projects. My research activity has focused on the analysis of bacterial diseases and populations. Motivating themes in my work are understanding genetic and non-genetic risk factors for infection, and the effects of transmission, natural selection and recombination in shaping pathogen diversity. I have investigated the evolution of pathogen populations from the colonisation of individual hosts and transmission between hosts, through to the whole-species and phylogenetics levels.
Recent publications
Identifying direct risk factors in UK Biobank via simultaneous Bayesian-frequentist model-averaged hypothesis testing using Doublethink.
Journal article
Arning N. et al, (2026), Proc Natl Acad Sci U S A, 123
The Local Economic Impact of Natural Disasters
Journal article
Roth Tran B. and Wilson DJ., (2025), Journal of the Association of Environmental and Resource Economists, 12, 1667 - 1704
Machine learning and statistical inference in microbial population genomics.
Journal article
Sheppard SK. et al, (2025), Genome Biol, 26
Multiple introductions of NRCS-A Staphylococcus capitis to the neonatal intensive care unit drive neonatal bloodstream infections: a case-control and environmental genomic survey.
Journal article
Lees EA. et al, (2025), Microb Genom, 11
Assessing the value of linking public health microbiology data to the UK Biobank
Preprint
Lin S-K. et al, (2025)
