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John Stephen Ginn is an Assistant Professor in Radiation Oncology at Duke Cancer Institute. His research focuses on external beam treatment planning, particularly for breast and lung cancer, as well as advancements in radiation therapy technology. He has expertise in MRI applications within radiation oncology and has been involved in the development of machine learning techniques for automatic segmentation and motion management in radiation therapy. Ginn holds a B.S. from Wheaton College, an M.S., and a Ph.D. from the University of California, Los Angeles, where he furthered his expertise in medical physics. He completed his residency in Radiation Oncology at Washington University in St. Louis. His work aims to enhance the precision and effectiveness of cancer treatments through innovative techniques and collaborative research.
Duke Cancer Institute • Durham, NC
Assistant Professor in Radiation Oncology focusing on treatment planning and machine learning applications in radiation therapy.
Washington University • St. Louis, MO
Completed residency in Radiation Oncology.
Department of Biomedical Engineering (MS program)