Jun Deng, PhD, DABR, FAAPM, FASTRO
Professor of Therapeutic Radiology and Biomedical Informatics and Data ScienceCards
About
Research
Overview
Dr. Deng's research has been focused on digital twins in health, dynamic modeling of multiscale longitudinal data, AI-enabled clinical decision support, and multimodal data integration for early cancer detection and prevention. Some active projects are listed below:
- Early cancer detection via statistical modeling of personal health data;
- Artificial intelligence for clinical decision support;
- Machine learning with radiation oncology big data;
- A generalizable data framework toward precision radiotherapy;
- Multiscale digital twin modeling of cancer patients;
- AI-empowered mobile health and smart medicine.
Medical Research Interests
Artificial Intelligence; Big Data; Digital Health; Early Detection of Cancer; Health Care; Machine Learning; Medical Informatics; Mobile Applications; Public Health Informatics; Radiation Oncology
Academic Achievements & Community Involvement
News & Links
Media
2026 DT4HS Annual Meeting Overview
The inaugural annual meeting of Digital Twins for Health Society (DT4HS) was held at UTHealth Houston TX from January 20-21, 2026.
- Dr. Jun Deng, Yale University School of Medicine's Professor of Therapeutic Radiology and Director of Physics Research, talks to us about his new initiative, the Digital Twins for Health Consortium (http://dt4h.org). https://www.youtube.com/watch?v=VyK6-9WwMhg&t=3s.
- This Research Topic is part of the Insights in Artificial Intelligence series (https://www.frontiersin.org/research-topics/33669/insights-in-ai-medicine-and-public-health-2022)
- A research topic dedicated to big data analytics for precision health and prevention (https://www.frontiersin.org/research-topics/10068/big-data-analytics-for-precision-health-and-prevention)
- A research topic dedicated to artificial intelligence for precision medicine (https://www.frontiersin.org/research-topics/12708/artificial-intelligence-for-precision-medicine)
- A book looking into how big data is having an impact on the clinical care of cancer patients (https://www.amazon.com/Radiation-Oncology-Imaging-Medical-Diagnosis/dp/1138633437)
- A research topic focused on machine learning with big data in radiation oncology (https://www.frontiersin.org/research-topics/6126/machine-learning-with-radiation-oncology-big-data)
News
Get In Touch
Contacts
Email
Academic Office Number
Office Fax Number
Mailing Address
Therapeutic Radiology
PO Box 208040
New Haven, CT 06520-8040
United States
Locations
Smilow Cancer Hospital at Yale New Haven
Academic Office
35 Park Street, Ste LL 508
New Haven, CT 06511
Appointments
203.200.2013Fax
203.200.2054