Intern Mads A. Hansen!

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Mads A. Hansen’s work on deep learning for data-driven health involves the development of a so-called deep anchor method, combining the anchor methods for semi-supervised analysis of text data from electronic health records with feature extraction using deep auto-encoders. Mads has done excellent work, and his work is now being prepared for publication.