About Eytan Ruppin

Eytan Ruppin, M.D., Ph.D., is a computational biologist whose research is focused on developing and harnessing data science approaches for the integration of multi-omics data to better understand the pathogenesis of cancer, its evolution and treatment. We collaborate with many experimental cancer labs, aiming to develop and utilize computational approaches to jointly gain a network-level integrative view of the systems we study. From a translational perspective, together with our collaborators, we aim to predict and test novel drug targets and biomarkers to treat cancer more effectively.