We are a computational genomics group studying the genetic basis of complex traits in human populations. The primary research focus is to understand the causes and consequences of epigenetic variation in humans, and its biomedical significance. Most projects in the lab are multidisciplinary and combine he analysis of large-scale genomic datasets (e.g. DNA methylation, DNA sequence, human microbiome) with statistical genetic and epigenetic tools.
I am a Professor in Epigenomics in the Department for Twin Research and Genetic Epidemiology at King's College London. My group uses computational methods to study research questions in genomics, with a focus on human epigenetic variation. Research areas include genetic and environmental basis of epigenetic variation, epigenomic studies of human complex traits and ageing, and the human microbiome.
Zhang et al. (2026) identify DNA methylation variance quantitative trait loci in ~2,000 identical twins
Saad et al. (2025) show that a compound in dark chocolate is linked to slower epigenetic ageing.
New research reveals how genes shape responses to the environment
Our recent study in genetically identical twins identifies gene-environment interactions underlying the regulation of human gene function
Key chemical in dark chocolate may slow down ageing
Christmas without the guilt – 12 health-boosting festive foods
Our recent study reveals links between dietary intakes and epigenetic ageing
Two teams awarded Cancer Grand Challenges £20m funding
Team PROSPECT will study factors contributing to early-onset colorectal cancer by analysing samples from diverse populations worldwide.