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Timothy Dunn is an Assistant Professor in the Department of Biomedical Engineering at Duke University, where he conducts research at the intersection of machine learning, computer vision, and neuroscience. His research interests encompass machine learning, neurobiology, animal behavior, and computational neuroscience, focusing on understanding and modeling complex biological systems. With a Ph.D. in Biomedical Engineering from Harvard University (2015), Dunn has a robust track record of contributions to the field, particularly in the context of traumatic brain injury and neural engineering. He has received multiple awards for his innovations in neuroscience, including the Technological Innovations Neuroscience Award from the McKnight Foundation in 2021 and a Peer Recognition Honor from Duke's Pratt School of Engineering in 2020. Dunn teaches various courses related to biomedical data sciences and engineering, fostering the next generation of engineers and scientists. His extensive publication record highlights significant advancements in machine learning applications for health data and the use of advanced imaging techniques for understanding brain functions. His work is characterized by a strong commitment to improving healthcare through interdisciplinary approaches and fostering collaborative research environments.
Duke University • Durham, NC
Teaching and research in Biomedical Engineering, focusing on machine learning, neurobiology, and computational modeling.
Department of Biomedical Engineering (MS program)