Silvia Canelón, PhD (she/her/ella) is a postdoctoral research scientist in the Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine. Her research interests include applications of biomedical informatics and data science in the public and population health fields. In particular, Dr. Canelón is interested in leveraging electronic health record (EHR) data and open data sources to highlight disparities in health care access and population health outcomes resulting from longstanding structural inequities.
Recently, Dr. Canelón has worked in the Boland Lab on projects that develop novel data mining methods to extract pregnancy-related information from EHR data, and that study the relationship between environmental exposures and disease.
Dr. Canelón is also a data educator and community organizer that values the partnership between open source tools and data literacy as a way to build power and effect change.