Chen Dun, PhD

Chen Dun, PhD, MHS, is a Research Associate in the Department of Surgery and Biomedical Informatics and Data Science at Johns Hopkins University School of Medicine, and is also affiliated with the Welch Center for Prevention, Epidemiology, and Clinical Research. She specializes in evidence-based, data-driven interventions to improve health service delivery and access. Her work focuses on dismantling financial and social structural barriers to care and advancing value-based, patient-centered healthcare.

Dr. Dun’s interdisciplinary foundation in public health, integrating sociology, epidemiology, and behavioral sciences, combined with advanced training in biomedical informatics and data science at the Johns Hopkins University School of Medicine, equips her to lead innovative studies in healthcare delivery, access, and patient safety. She has extensive experience with national claims and registry datasets, including Medicare, the Vascular Quality Initiative (VQI), and Optum Labs, which she uses to examine practice variation, clinical outcomes, and healthcare costs.

Since earning her master’s degree from the Johns Hopkins Bloomberg School of Public Health, Dr. Dun has designed national big data projects that evaluate physician practice patterns and medical utilization in surgical care. Her research applies advanced computational and causal inference methods to identify and reduce low-value care, leading to measurable improvements in efficiency and outcomes.

Welch Center for Prevention, Epidemiology, and Clinical Research

Responsible AI, Data Sciences, and Education in Medicine (RAISE) Center

The Johns Hopkins Surgery Center for Outcomes Research (JSCOR)