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Kun-Hsing Yu received his PhD in Biomedical Informatics with a minor in Computer Science from Stanford University and obtained his MD from National Taiwan University, Taiwan. His research focuses on the integration of quantitative histopathology image patterns with multi-omics profiles, advancing both cancer research and clinical practice. His team has developed fully-automated algorithms to analyze whole-slide histopathology images at scale, discovering molecular mechanisms underpinning the microscopic phenotypes of tumor cells and identifying novel cellular morphologies that can impact patient prognosis. His research interests encompass quantitative pathology, machine learning, and translational bioinformatics, particularly within the realms of Artificial Intelligence, Clinical Decision Making, and Computational Omics.
Administered by the Division of Medical Sciences (DMS). GRE is not required and will not be considered for BBS, Immunology, and Neuroscience.