Gevaert Lab

The unprecedented wealth of data currently that is being generated in medicine creates new challenges in understanding and using these data for personalized medicine. My lab focuses on exploiting the synergies that are present between data at different scales. This ranges from molecular data ( e.g., genome sequencing, gene expression), to cellular data (e.g., histological images) and tissue-scale data (e.g., in vivo CT or MR images). We develop computational methods drawn from statistics and mathematics, and apply these to improve decision-support models to personalize diagnosis, prognosis and therapy. Currently the lab focuses on applications in oncology and neuroscience.