Julian Hong, MD, MS
Assistant Professor
Radiation Oncology
School of Medicine

Dr. Hong is Assistant Professor and Medical Director of Radiation Oncology Informatics in the Department of Radiation Oncology and the Bakar Computational Health Sciences Institute at the University of California, San Francisco, and in the UCSF-UC Berkeley Joint Program in Computational Precision Health. Clinically, he specializes in the treatment of genitourinary malignancies.

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Dr. Hong’s informatics research program focuses on the development and implementation of computational tools in the clinic to provide personalized, precision cancer care for patients. His group combines clinical domain knowledge with data science expertise to generate insights from real world data, develop actionable artificial intelligence-based tools, and evaluate the benefit of these advances in patient care. He led one of the first randomized controlled studies of clinical machine learning, developing an electronic health record-based algorithm that accurately directed care to reduce emergency visits and hospitalizations during radiotherapy.

Dr. Hong received his B.S. in Biomedical Computation and M.S. in Bioengineering from Stanford University. He completed medical school at the University of Wisconsin and residency in radiation oncology at Duke University, where he served as Chief Resident. Dr. Hong is board certified in both radiation oncology and clinical informatics. Dr. Hong serves on the NRG Cancer Care Delivery Research Committee and is an American Society of Radiation Oncology (ASTRO) representative for the American Association of Physicists in Medicine (AAPM) Big Data Subcommittee. He is a member of the Minimal Common Oncology Data Elements (mCODE) Council, the American Medical Informatics Association (AMIA) Annual Symposium and Informatics Summit Scientific Program Committees, and the American Society of Clinical Oncology (ASCO) CancerLinQ Leadership Council.

Dr. Hong’s research has been published in high-impact, peer-reviewed journals such as the Journal of Clinical Oncology, JAMA Oncology and the New England Journal of Medicine AI. His work has been recognized with the Radiation Oncology Institute (ROI) Publication Award, Bio-IT World Innovative Practices Award, and the Symposium on Artificial Intelligence for Learning Health Systems New England Journal of Medicine Travel Award.

Awards

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  • Scientific Program Committee Award, American Medical Informatics Association (AMIA), 2024
  • Bronze Medal, Kaggle March Machine Learning Mania 2022, 2022
  • Annual Symposium Distinguished Poster, American Medical Informatics Association (AMIA), 2021
  • Bio-IT World Innovative Practices Award, Cambridge Healthtech Institute, 2021
  • Publication Award, Radiation Oncology Institute, 2021
  • New England Journal of Medicine Travel Scholarship/Spotlight Talk, Symposium on Artificial Intelligence for Learning Health Systems, 2020
  • 3rd Place, Google Cloud Kaggle NCAA March Madness Machine Learning Competition, 2018
  • Dylan Cappel Memorial Scholarship in Oncology, University of Wisconsin, 2014
  • Herman and Gwendolyn Shapiro Excellence in Student Research Award, University of Wisconsin, 2012

Education & Training

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  • Chief Residency Radiation Oncology Duke University Medical Center 06/2019
  • Residency Radiation Oncology Duke University Medical Center 06/2019
  • Internship Internal Medicine Yale-New Haven Medical Center 06/2015
  • MD Medicine University of Wisconsin-Madison 05/2014
  • MS Bioengineering Stanford University 06/2009
  • BS Biomedical Computation Stanford University 06/2008

Websites

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Videos

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Grants and Projects

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  • Multi-institutional validation of a multi-modal machine learning algorithm to predict and reduce acute care during cancer therapy, NIH/NCI, 2023-2028
  • Diagnostic tools for quality improvement of machine learning-based clinical decision support systems, Patient-Centered Outcomes Research Institute (PCORI), 2023-2027
  • Advancing the Drug Development Process in Metastatic Prostate Cancer through Machine Learning, Prostate Cancer Foundation, 2022-2024
  • Accessible and equitable computational approaches to reduce acute care for cancer patients, Conquer Cancer, 2021-2024
  • Artificial intelligence approaches for the diagnosis and treatment of oligometastatic prostate cancer, ASTRO-PCF, 2021-2024
  • Artificial intelligence approaches to reduce disparities in supportive care during cancer therapy, UCSF, 2021-2023
  • Reducing preventable ED visits and hospitalizations in patients with cancer, UCSF, 2020-2022
  • Enhanced prostate cancer diagnostics: Intelligent algorithms to improve patient, American Cancer Society, 2020-2021

Publications (73)

Top publication keywords:
ChemoradiotherapyCystadenocarcinoma, PapillaryRadiotherapyLung NeoplasmsMachine LearningArtificial IntelligenceNatural Language ProcessingUnilateral Breast NeoplasmsRadiation OncologyNeoplasmsSmall Cell Lung CarcinomaRadiosurgeryKnowledgeFiducial MarkersPatient Portals

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