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AI-Driven Multimodal Data Analysis for Neurological Disorders

Speaker

Dominique Duncan, PhD

Dominique Duncan is an assistant professor of Neurology, Neuroscience, and Biomedical Engineering at the USC Stevens Neuroimaging and Informatics Institute in the Laboratory of Neuro Imaging (LONI) at the University of Southern California. Dr. Duncan's background spans mathematics, engineering, and neuroscience. She received her PhD at Yale University in Electrical Engineering where she analyzed intracranial EEG data using nonlinear factor analysis to identify pre seizure states of epilepsy patients. Dr. Duncan is funded through both the National Institutes of Health (NIH) and the National Science Foundation (NSF). She has built international, multidisciplinary collaborations and developed novel analytic tools to analyze multimodal data, including imaging and electrophysiology, particularly in the areas of traumatic brain injury, epilepsy, and COVID-19. By creating large-scale data repositories and linking them with analytic, visualization, and quality control tools for multimodal data, her work aims to encourage collaboration across multiple fields.

Categories

Lecture/Talk, Research