Head Of Biomedical Informatics And Data Science Section
Ilchester, Maryland, United States
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Summary
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Senior
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Top School
Paul Nagy is an informaticist and associate professor at Johns Hopkins who builds bridges between clinical practice and data science, turning clinics into reproducible data laboratories focused on imaging-derived biomarkers. He directs biomedical informatics training and leads institutional efforts in observational health data science and responsible AI, shaping policy and deployment across the Johns Hopkins health system. As deputy director of the Technology Innovation Center he scaled a 50-person team to co-design, deploy, and evaluate patient-centric digital health solutions with clinician-inventors. His interdisciplinary appointments across radiology, medicine, public health, and engineering reflect a rare blend of clinical, technical, and educational leadership. Trained as a diagnostic medical physicist with a PhD, he brings deep imaging physics expertise to problems in real-world evidence generation and AI accountability. Colleagues rely on him for pragmatic translation of research into operational tools that preserve reproducibility and patient-centered value.
11 years of coding experience
18 years of employment as a software developer
PhD, Diagnostic Medical Physics, PhD, Diagnostic Medical Physics at Medical College of Wisconsin
BS, Physics and Scientific Instrumentation, BS, Physics and Scientific Instrumentation at Carnegie Mellon University
Github Skills (19)
sports-data9
health8
clinical-trials7
atlas7
flask6
api6
documentation-generator6
standardized6
monitor6
pdf5
jupyter5
pubmed5
dashboard4
kpi4
sphinx-doc4
Programming languages (7)
TypeScriptJavaScriptHTMLJupyter NotebookTSQLRich Text FormatPython
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Paul Nagy - Head Of Biomedical Informatics And Data Science Section