Olivier Gevaert heads the Gevaert lab that specializes in biomedical data fusion for oncology, developing machine learning methods to support decision-making using multi-scale data. Pioneering work includes data fusion with Bayesian and kernel methods for breast and ovarian cancer research, leading to the creation of MethylMix and AMARETTO to identify cancer-related genes and modules through multi-omics data integration. The lab's interdisciplinary focus also involves linking omics with cellular and tissue-level phenotypes, contributing to imaging genomics/radiogenomics for personalized medicine in lung cancer and brain tumors.