Our research group combines molecular epidemiology, biostatistics and data science to understand the biological, environmental and social determinants of complex and non-communicable diseases across the life course.

We develop and apply statistical and computational approaches to analyse and integrate high-dimensional biomedical and population-based data, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, exposomics, imaging and clinical and epidemiological information. By combining these complementary layers of information, we aim to uncover the mechanisms through which genetic susceptibility, molecular processes and environmental exposures contribute to health and disease.

We work with large-scale population studies and deeply phenotyped cohorts to translate complex biomedical data into biological and clinically meaningful insights. Our goal is to contribute to a better understanding of disease aetiology and heterogeneity and to support risk stratification, prevention and precision medicine in an inclusive manner.