Biography
Sylvia Plevritis runs a research program that applies data science to the study of cancer systems biology and patient outcomes. She is focused on reverse engineering cell-cell interactions in the tumor microenvironment, from single cell sequencing and multiplexed imaging platforms, in order to identify biomarkers and drug targets and aid in treatment planning. She is a PI with the NCI Cancer Intervention Surveillance Network, an NCI-consortium of investigators who use simulation modeling to improve our understanding of cancer control interventions in prevention, screening, and treatment and their effects on population trends in cancer incidence and mortality. These models have been used to guide public health research and priorities, and aid in the development of optimal cancer control strategies. She is a fellow of the American Institute for Medical and Biological Engineering and Distinguished Investigator in the Academy of Radiology Research, and serves on the NCI Board of Scientific Advisors.
Track Co-Chairs:
Russ Cucina, UCSF