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David Carlson is an Associate Professor at Duke University, focusing on developing novel machine learning and artificial intelligence techniques to accelerate scientific discovery. His research extensively explores fundamental theory and algorithms, translating these into practical scientific applications. He has built extensive partnerships deploying machine learning techniques for various domains, including environmental health, mental health, and neuroscience. His academic work bridges numerous disciplines and involves collaborative efforts that enhance the application of advanced statistical methods to real-world problems. With a significant background in both engineering and health data science, Carlson contributes to educational initiatives by teaching courses such as Statistical Methods in Computational Biology and various topics in Civil and Environmental Engineering. He holds a Ph.D. from Duke University, awarded in 2015, and he continues to push the boundaries of knowledge through innovative research and dedicated instruction.
Department of Biomedical Engineering (MS program)