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Michael Oberst is associated with the Machine Learning Group at Johns Hopkins University, contributing to the fields of reliable machine learning and decision-making, particularly in healthcare applications. His research interests lie at the intersection of artificial intelligence and computational biology, exploring how machine learning techniques can enhance decision-making processes in clinical settings. Through his work, he aims to improve patient outcomes and advance the understanding of complex biological systems.
Department of Pathology - PhD in Pathobiology. GRE is not required.