Short Bio.
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 numerous experimental cancer labs, aiming to develop new computational approaches to jointly gain a network-level integrative view of the systems we study, focusing on cancer metabolism, genomics and immunotherapy. From a translational perspective, together with our collaborators, we aim to predict and test novel drug targets and biomarkers to treat cancer more effectively. After serving as a Computer Science and Medicine professor at TAU (Israel) and UMD (Maryland), Eytan has recently joined the NCI to setup and head its new Cancer Data Science Lab (CDSL).