Georgetown Lombardi Visiting Professor and Grand Rounds Lecture Series Featuring Eytan Ruppin, MD, PhD

“Next Generation Transcriptomics-based Precision”

Presented by:
Eytan Ruppin, MD, PhD
Chief, Cancer Data Science Lab, National Cancer Institute, NIH

Location: Join this presenter virtually via Zoom

Sponsor: Michael Atkins, MD

Eytan Ruppin received his M.D. and Ph.D. (Computer Science) from Tel-Aviv University where he has served as a professor of Computer Science & Medicine since 1995, conducting computational multi-disciplinary research spanning a wide variety of topics, including neuroscience, evolutionary computation, natural language processing, machine learning and systems biology. He joined the University of Maryland in July 2014 as a Computer Science professor and director of its center for bioinformatics and computational biology (CBCB), before joining the NCI in January 2018, where he co-founded and is Chief of its Cancer Data Science department. Studying cancer metabolism, his lab has been involved in identifying the first metabolic synthetic lethal cancer drug target and in the discovery of the link between urea cycle dysregulation and response to immunotherapy, among others. His recent research focus is on developing new approaches for synthetic lethal based precision oncology, which are now moving into clinical prospective testing. Eytan is a member of the editorial board of EMBO Reports and Molecular Systems Biology and a fellow of the International Society for Computational Biology (ISCB). He has recently received the NCI Director award (2022) and the Delano Award for Computational Biosciences (2023) for his contributions for advancing transcriptomics-based precision oncology. Dr. Ruppin is also a co-founder of a few startup companies involved in precision medicine and cancer drug discovery.

Lecture Series Presented by Georgetown Lombardi Comprehensive Cancer Center