Zheng Zhang, PhD, DABR

 Zheng Zhang
Clinical Assistant Professor of Radiation Oncology, Medical School
Office:
University of Michigan
Radiation Oncology
1500 E Medical Center Dr.
Ann Arbor, MI 48109
Email:
[email protected]
Phone:
Available to mentor
Zheng Zhang, PhD, DABR
Zheng Zhang
Clinical Assistant Professor
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  • Center Memberships
  • Recent Publications

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    • About

    Dr. Zhang is a board-certified clinical medical physicist, practicing in the Department of Radiation Oncology at the University of Michigan. He joined the department in 2022, following a medical physics research fellowship at Mayo Clinic (Rochester) and residency training at the University of Pennsylvania. He received his PhD from the University of Colorado Boulder.

    Dr. Zhang's research endeavor is situated at the intersection of radiation physics and biology. He endeavors to establish his independent research program, leveraging physics expertise in the precision and rigor of radiation delivery, to clarify the molecular mechanisms of low dose radiation therapy for treating osteoarthrtis.

    On the clincal side, he is interested in advanced ClinOps analytics for workflow optimization. He holds Epic certifications in Cogito, Caboodle Data Model, Clarity Data Model, and Access Data Model. He has a keen interest in the Learning Health System approach of improving care and health, and is passionate about engaging patients and care-givers as equal partners in both research and quality improvement.

    Dr. Zhang has published extensively and served on national committees within the American Association for Physicists in Medicine (AAPM).

    Links
    • Personal Website

    Qualifications
    • Medical Physics Residency
      University of Pennsylvania, Department of Radiation Oncology, Philadelphia, PA, United States
      2020 - 2022
      Residency
    • Research Fellow
      Mayo Clinic, Department of Radiation Oncology, Rochester, MN, United States
      2018 - 2020
      Residency
    • Ph.D., Mechanical Engineering
      University of Colorado, Boulder, CO, United States
      2010 - 2015
    • B.E., Materials Science and Engineering
      Zhejiang University, Hangzhou, China
      2006 - 2010

    Center Memberships
    • Center Member
      AI and Digital Health Innovation

    Recent Publications

     See All Publications
    • Journal Article
      AI-Driven Troubleshooting for TrueBeam Systems: Development and Testing of a GPT-4.1 Chatbot
      Knill C, Devan S, Matrosic C, Moreau J, Zheng Z. Technical Innovations & Patient Support in Radiation Oncology, 2026 Apr 10; 39: DOI:10.1016/j.tipsro.2026.100420
    • Journal Article
      A preference-integrated optimization system for medical physics shift scheduling
      Rosen B, Zhang Z, Hopfensperger K, Paradis K, Lee C, Critchfield L, Ozoemelam I, Matrosic C, Kehayias C, Hadley S, Balter J, Zhang C, Wei L, Oliaei Motlagh SA, Moncion A, Litzenberg D, Knill C, Ditman M, Covington E, Mayo C, Devan S, Matuszak M, Prisciandaro J. Journal of Applied Clinical Medical Physics, 2026 Mar 6; DOI:10.1002/acm2.70743
    • Journal Article
      Hypothesis Generation via Interpretable Machine Learning: A Case Study on Risk Factors for Post-Radiotherapy Lung Cancer Recurrence
      Zhang Z, Lee SH, Caruana R, Nori H, Fan Y, Wang X, Yegya-Raman N, Simone CI, Kao GD, Feigenberg SJ, Xiao Y. 2025 Feb 5;
    • Preprint
      AI-Driven Troubleshooting for TrueBeam Systems: Development and Testing of a GPT-4.1 Chatbot
      Knill C, Devan S, Matrosic CK, Moreau J, Zhang Z. 2026 Apr 26; SSRN Electronic Journal, DOI:10.2139/ssrn.6631202
    • Journal Article
      Leveraging Standardized Data Sources and Natural Language Inference Models to Extract Prostate Cancer Diagnosis and Staging at Scale from Clinical Notes
      Zhang Z, Zocher H, Rosen B, Covington E, Dess R, Evans J, Jackson W, Lawrence T, Matuszak M, Piatt G, Vydiswaran VGV, Mayo C. Clinical Cancer Research, 2025 Jul 21;
    • Proceeding / Abstract / Poster
      AI-Driven Troubleshooting for Truebeam Systems: Development and Testing of a Gpt-4o Chatbot
      Knill C, Devan S, Matrosic C, Zhang Z. 2025 Jul 27;
    • Proceeding / Abstract / Poster
      Feasibility of Extracting Diagnosis and Staging at Scale from Clinical Notes Via a Real-World Data Warehouse
      Zhang Z, Zocher H, Rosen B, Covington E, Dess R, Jackson W, Evans J, Mierzwa M, Grant W, Bronson M, Vydiswaran VGV. 2025 Jul 27;
    • Proceeding / Abstract / Poster
      Development of an In-house Application that Uses Generative AI to Summarize Oncology Histories.
      Pflederer T, Zhang Z, Covington E, Higgins L, Nieto J, Mayo C, Evans J. 2025 Jan 15;