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Jun Deng, PhD, DABR, FAAPM, FASTRO

Professor of Therapeutic Radiology and Biomedical Informatics and Data Science
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Additional Titles

Director of Physics Research, Therapeutic Radiology

About

Titles

Professor of Therapeutic Radiology and Biomedical Informatics and Data Science

Director of Physics Research, Therapeutic Radiology

Biography

Dr. Jun Deng is a Professor and Director of Physics Research at the Department of Therapeutic Radiology; a Professor at the Department of Biomedical Informatics and Data Science of Yale University School of Medicine; an ABR board certified medical physicist at Yale-New Haven Hospital; the Principal Investigator of Yale Smart Medicine Lab; and the President of the Digital Twins for Health Society. Dr. Deng received his PhD from University of Virginia and finished his postdoctoral fellowship at Stanford University. With funding from NIBIB, NSF, NCI, DOE, YCC, and Amazon, Dr Deng’s research has been focused on AI, machine learning, and medical imaging for real-time clinical decision support, digital twins of cancer patients, early cancer detection, as well as AI-empowered mobile health. Dr. Deng has been serving on the editorial board of numerous peer-reviewed journals, on the study sections of NIH, NSF, DOD, ACS, RSNA, ASTRO, and CPRIT since 2005, and as scientific reviewer for various national and international science foundations since 2015. Dr. Deng is an elected fellow of IOP, AAPM, ASTRO, and has been recently selected as one of the Key Thought Leaders of the NCI Cancer AI Accelerator Program, one of the Experts for the NIH AIM-AHEAD PAIR Program, and one of the Mentors for the NIH AIM-AHEAD Research Fellows Program.

Last Updated on July 16, 2025.

Appointments

Other Departments & Organizations

Education & Training

Postdoctoral Fellowship
Stanford University (2001)
PhD
University of Virginia (1998)
BS
Sichuan University (1991)

Research

Overview

Dr. Deng's research has been focused on AI for precision medicine, and AI for precision radiotherapy. Some active projects are listed below:

  1. Early cancer detection via statistical modeling of personal health data;
  2. Artificial intelligence for clinical decision support;
  3. Machine learning with radiation oncology big data;
  4. A generalizable data framework toward precision radiotherapy;
  5. Multiscale digital twin modeling of cancer patients;
  6. AI-empowered mobile health and smart medicine.

Medical Research Interests

Artificial Intelligence; Big Data; Early Detection of Cancer; Health Care; Health Disparate Minority and Vulnerable Populations; Machine Learning; Medical Informatics; Mobile Applications; Public Health Informatics; Radiation Oncology

Research at a Glance

Yale Co-Authors

Frequent collaborators of Jun Deng's published research.

Publications

2024

2023

2022

Academic Achievements & Community Involvement

Activities

  • activity

    American Association of Physicists in Medicine (AAPM)

  • activity

    American Society for Radiation Oncology (ASTRO)

  • activity

    Radiological Society of North America (RSNA)

  • activity

    Connecticut Area Medical Physics Society (CAMPS), AAPM

  • activity

    RSNA Research & Education Foundation Study Section

Honors

  • honor

    ASCEND Collaborative Research Grant

  • honor

    Keynote Speaker

  • honor

    President

  • honor

    Keynote Speaker

  • honor

    Selected mentor

Get In Touch

Contacts

Academic Office Number
Office Fax Number
Mailing Address

Therapeutic Radiology

PO Box 208040

New Haven, CT 06520-8040

United States

Locations