Daniel Wilson
Associate Professor
My research interests centre on the development and application of tools for microbial genomics, in particular population genetics, to understanding human pathogens. I am involved in the Modernising Medical Microbiology, STOP HCV and CRYPTIC consortia, ambitious projects with the aim of using genomics to better understand clinically important microorganisms.
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), Proceedings of the National Academy of Sciences, 123
Machine learning and statistical inference in microbial population genomics.
Journal article
Sheppard SK. et al, (2025), Genome biology, 26
ssessing the value of linking public health microbiology data to the UK Biobank
Preprint
Lin S-K. et al, (2025)
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), Microbial Genomics, 11
Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data
Journal article
Pascoe B. et al, (2024), Journal of Infection, 89, 106265 - 106265