Our laboratory develops and applies bioinformatics methods to drive discoveries in cancer and translate these into improved outcome for patients.
We use mathematics, statistics and computing to analyse and interpret omics data, especially related to cancer evolution, spanning cancer initiation, progression and patient outcome. We work extensively on rare cancers, melanoma and prostate cancer, but also work on other cancers and other diseases. We have strong research interests in chromosomal instability and extensive experience in the analysis of whole genome sequencing data. A major focus of the lab is now cancer multiomics, predictive biomarker and subtype discovery.
