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Sam Payabvash is an associate professor in the Department of Radiology at Columbia University Irving Medical Center and a board-certified radiologist specializing in neuroimaging. He serves as the director of clinical translation innovation at Columbia's Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), a multidisciplinary center committed to developing and integrating quantitative imaging and non-imaging biomarkers for disease prediction. His research primarily focuses on the application of machine learning to neuroimaging, with a significant body of work dedicated to development of tools aimed at guiding treatment for cerebrovascular diseases. Dr. Payabvash has made extensive contributions to the field through multiple machine learning models designed to risk-stratify and provide treatment guidance for patients suffering from ischemic and hemorrhagic strokes.
Department of Anthropology (GSAS)