Shelley Rusincovitch is an informaticist and technical leader with extensive background in healthcare data, clinical trials, and outcomes registries. In her role with the Forge, she co-leads the Demonstration Program with a portfolio of project illustrating the “art of the possible” in the vision of actionable health data science, and, in collaboration with the Forge Principal Data Scientist, provides direction and operational leadership for the transdisciplinary teams. She also manages the Data Science Core and oversees the Health Data Science Internship Program in partnership with the Duke Clinical Research Institute.
Before joining the health data science initiative in 2017, Ms. Rusincovitch led the development of the PCORnet Common Data Model and managed the PCORnet Data Committee, a governance entity overseeing the data network, informatics, and research data innovations. Her previous technical experiences as a database developer include registry systems, economics/quality-of-life research studies, clinical trials data management, and health system enterprise data warehousing. Her specialties include solutions design and architecture, data modeling, distributed research networks, convening and facilitating stakeholder groups, and machine learning applications with health data.