How our research benefits to society
We focus on analysing large cohort and genomic data sets to further our understanding of disease and biology.
We provide teaching on topics in machine learning and statistics, to equip students with the concepts and skills to correctly and efficiently set up studies and interpret results, enabling them to evidence-based improvement of standards of care.
We develop novel methodologies to add value to cohort databases such as Lifelines, by applying "unsupervised learning" techniques to these large databases. In addition we run studies in which we apply machine learning methods to functional genomic assays such as ATAC-seq and RNA-seq to improve our understanding of basic biology and cellular processes.