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David Carlson's research primarily focuses on developing novel machine learning and artificial intelligence techniques aimed at accelerating scientific discoveries across various domains. He has a profound expertise in fundamental theory and algorithms, which he applies to real-world scientific applications. Carlson has extensive collaborations that leverage machine learning techniques in vital areas such as environmental health, mental health, and neuroscience. He has served as an Associate Professor across several departments at Duke University, showcasing his interdisciplinary approach to research. His educational background includes a Ph.D. from Duke University in 2015, and his work has been widely published in high-impact scientific journals, indicating an active engagement in advancing both theoretical and applied aspects of machine learning and data science.
Department of Biomedical Engineering (MS program)