Dr. Gevaert's lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. Previously they pioneered data fusion work using Bayesian and kernel methods studying breast and ovarian cancer. Additionally, they developed computational algorithms for the identification of driver genes using multi-omics data. Furthermore, they are working on multi-scale biomedical data fusion methods, bridging the molecular using omics data, cellular using pathology data and tissue using medical imaging data.