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Daniel L. Rubin, MD, MS is a Professor of Biomedical Data Science and Radiology at Stanford University, where he also serves as a Principal Investigator for the National Cancer Institute's Quantitative Imaging Network. His research focuses on integrating quantitative imaging data with clinical molecular data to discover imaging phenotypes, predict underlying biology, and personalize treatment for patients. Dr. Rubin has published over 350 scientific publications in biomedical imaging informatics, data science, and radiology. He has held various leadership roles, including Director of Biomedical Informatics at the Stanford Cancer Institute and Co-Director of the Cancer Imaging Early Detection Program. His work lies at the intersection of biomedical informatics and imaging science, with a strong emphasis on developing methods for information extraction from imaging data and enhancing the use of technology in clinical settings.
Stanford University • STANFORD, California
Teaching and research in Biomedical Data Science and Radiology.
Stanford Cancer Institute • STANFORD, California
Leading the development of informatics applications in cancer research.
Cancer Imaging Early Detection Program • STANFORD, California
Coordinating efforts in cancer imaging research.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.