Dr. Dominique Duncan

Biography

Dominique Duncan is an assistant professor of Neurology at the USC Stevens Neuroimaging and Informatics Institute, with joint appointments in Neuroscience and Biomedical Engineering. Dr. Duncan has a diverse academic background, having double majored in Mathematics and Polish Literature at the University of Chicago while also minoring in Computational Neuroscience. She earned her PhD in Electrical Engineering from Yale University, where her thesis focused on analyzing intracranial EEG data using nonlinear factor analysis to identify preseizure states in epilepsy patients. Following her doctoral studies, she held a professorship in Mathematics at Sichuan University in Chengdu, China, through a summer program for undergraduate students. Dr. Duncan then completed postdoctoral positions in Neurology at Stanford University School of Medicine and in Mathematics at UC Davis, where she developed algorithms based on diffusion maps to classify Alzheimer’s patients using MRI. Since joining USC, she has established international, multidisciplinary collaborations to develop novel analytical tools for analyzing multimodal data in imaging and electrophysiology. Her research interests lie at the intersection of data analysis, signal processing, and machine learning, particularly in areas related to traumatic brain injury, epilepsy, and COVID-19. She aims to create large-scale data repositories that link visualization and analytical tools with neuroimaging and electrophysiology data from COVID-19 patients, promoting collaboration across multiple fields. Dr. Duncan also uses virtual reality to enhance the process of analyzing neuroimaging data and to improve neuroscience education for K-12 students.

Research Interests