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Jessilyn Dunn is an Assistant Professor in Biomedical Engineering at Duke University, focusing on developing new AI sensing tools and infrastructures for the integration of multi-modal biomedical data. Her work aims to drive precision and personalized methods for early detection, intervention, and prevention of diseases by utilizing large-scale biomedical datasets for AI modeling and digital biomarker development. Dr. Dunn's research interests lie at the intersection of biomedical engineering and artificial intelligence, where she guides personalized, just-in-time therapies using advanced algorithms and extensive data analytics. She's become a prominent figure in the application of digital health technologies to improve clinical outcomes and facilitate better healthcare delivery. Dunn has made significant contributions to the understanding of how wearable devices can be integrated into health monitoring systems, enabling more accurate and efficient predictions of health status based on continuous data streams.
Department of Biomedical Engineering (MS program)