Christian Haudenschild


Current Collaborators

Meet Christian Haudenschild

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Undergrad: NYU, Biochemistry

Graduate School: QBS MS Health Data Science

Medical School: University of Minnesota

Further Description: I’m a recent graduate of the MS QBS program, and currently studying medicine at UM - my research interests are in deep learning/machine learning projects with clinical applicability. My master’s thesis was a patient outcome predictor using deep learning on electronic medical record data, but most recently I worked with Josh on creating an autoencoder-based feature extractor for whole slide images, as well as the metagenome framework Metacracker. I’m an avid rock climber.