Chris Holmes
Professors of Biostatistics in Genomics
I have a broad interest in the theory, methods and applications of statistics and statistical modelling. My background and beliefs lie in Bayesian statistics which provides a unified framework to stochastic modelling and information processing. I am particularly interested in pattern recognition and nonlinear, nonparametric methods.
Recent publications
DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research
Journal article
Aslett LJM. et al, (2025), Data, 10, 195 - 195
AI-driven reclassification of multiple sclerosis progression.
Journal article
Ganjgahi H. et al, (2025), Nature medicine, 31, 3414 - 3424
Analysis of IDH1 and IDH2 mutations as causes of the hypermethylator phenotype in colorectal cancer
Journal article
Ward JC. et al, (2025), The Journal of Pathology, 267, 40 - 55
Methodological opportunities in genomic data analysis to advance health equity.
Journal article
Lehmann B. et al, (2025), Nature reviews. Genetics, 26, 635 - 649
Assessments and developments in constructing a National Health Index for policy-making, in the UK
Journal article
Freni-Sterrantino A. et al, (2025), Journal of the Royal Statistical Society. Series A: Statistics in Society, 188, 491 - 514