- Assistant Professor, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania
Dr. Danielle Mowery is an Assistant Professor of Informatics in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine, University of Pennsylvania, and serves as Chief Research Information Officer for Penn Medicine. A Fellow of the American Medical Informatics Association, she has built her career at the intersection of clinical natural language processing, biomedical AI, and learning health systems.
Dr. Mowery’s research applies advanced natural language processing and machine learning to unstructured clinical text — including physician notes, pathology reports, and imaging narratives — to extract phenotypes, identify disease subgroups, and enable scalable real-world evidence generation. Her work spans rare and complex disease populations including autoimmune cohorts, where structured EHR data alone are insufficient to capture disease activity, treatment response, or outcomes.
As Chief Research Information Officer, Dr. Mowery shapes the data infrastructure underlying clinical and translational research across Penn Medicine, and partners directly with Penn Colton Center and Penn Immune Health investigators to deploy informatics tools that accelerate autoimmunity research. She is a leader in implementation science around clinical AI, championing approaches that translate informatics advances into measurable improvements in patient care and equity.