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University of California San Francisco

Our Team

Julian Hong, M.D., M.S.

Assistant Professor
Department of Radiation Oncology

Dad, fantasy sports enthusiast, occasional amateur gamer

Meet Dr. Hong

It is a privilege to serve our patients and their families and work to bring them personalized care.

Dr. Julian Hong specializes in the treatment of genitourinary malignancies. He has expertise in modern radiation therapy techniques including intensity modulated radiation therapy (IMRT), image guided radiation therapy (IGRT), and stereotactic body radiation therapy (SBRT).

His informatics research program focuses on the development and implementation of computational tools in the clinic to provide personalized, precision cancer care for patients. His lab combines clinical domain knowledge with data science expertise to generate insights from real world data, develop actionable machine learning tools, and evaluate the benefit of these advances in patient care.

Dr. Hong serves on the NRG national cooperative group Cancer Care Delivery Research (CCDR) Committee. He is also a member of the American Society of Radiation Oncology (ASTRO) Science Education and Program Development Subcommittee and the American Medical Informatics Association (AMIA) Informatics Summit Scientific Program Committee.



2004-2008 Stanford University BS Biomedical Computation
2007-2009 Stanford University MS Bioengineering
2010-2014 University of Wisconsin-Madison MD Medicine
2014-2015 Yale-New Haven Medical Center Intern Internal Medicine
2015-2019 Duke University Medical Center Resident Radiation Oncology
Professional Experience

Professional Experience

2019- Present University of California, San Francisco Assistant Professor Radiation Oncology

Awards & Honors

2009 American Association for the Advancement of Science (AAAS)/Science Program for Excellence in Science
2011 National Student Research Forum Excellence in Radiology Research Award
2012 Herman and Gwendolyn Shapiro Excellence in Student Research Award
2014 University of Wisconsin Dylan Cappel Memorial Scholarship in Oncology
2018 Google Kaggle NCAA March Madness Machine Learning Competition, 3rd Place of 934

Redefining Possible