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Computational Health Seminar Series: David Carlson

David Carlson is an Assistant Professor at Duke University in the Department of Civil and Environmental Engineering and the Department of Biostatistics and Bioinformatics. His research is focused on developing machine learning methods to facilitate data-driven science, primarily using probabilistic and deep learning approaches. In this talk he discusses how his lab designs machine learning methods that can infer electrical networks from brain data, and the expression of these networks define a brain state that predicts disease state, behavior, or outcomes.