Silvia Canelón (she/her/ella) is a Data Analyst in the Department of Emergency Medicine at the University of Pennsylvania. She is formally trained as a biomedical engineer and informaticist and enjoys conducting research that leverages large complex medical datasets and data science to study population health outcomes. Her current work uses electronic health record (EHR) data and geospatial analyses to explore how the neighborhood environment and access to urban nature can impact the health of individuals in Philadelphia.

Prior to joining the Penn Urban Health Lab, Dr. Canelón developed novel data mining methods to extract meaningful information from the EHR and study health outcomes and disparities in pregnant populations. She is particularly interested in research that combines biomedical data science with open data sources in ways that prioritize health equity in her communities.

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. You can learn more about these interests and Dr. Canelón's research on her personal website: https://www.silviacanelon.com.