Guorong Wu

Guorong Wu is an Assistant Professor at the University of North Carolina at Chapel Hill, holding joint appointments in the Department of Psychiatry and Computer Science within the UNC School of Medicine. His research focuses on computational neuroscience, machine learning, and neurodegenerative diseases, particularly Alzheimer’s disease. He develops advanced mathematical and computational models to understand brain functional dynamics, neural pathway propagation, and spatiotemporal progression of neuropathological events.

Key research interests include graph theory applications to brain networks, optimal transport models for disease progression, and interpretable AI frameworks for medical diagnosis. His work spans interdisciplinary collaborations, integrating neuroimaging data with machine learning to uncover mechanisms of Alzheimer’s pathology, tau propagation, and amyloid-beta dynamics.

His recent publications emphasize spatiotemporal modeling of neurodegenerative diseases, hub identification in brain networks, and the development of tools like PainFace for standardized mouse grimace analysis. While no specific grants or awards are mentioned, his contributions align with cutting-edge computational neuroscience and medical AI applications.