Li Wang

Li Wang, PhD, is an Associate Professor in the Department of Radiology at the UNC School of Medicine, University of North Carolina. They lead the UNC Image Analysis Group (BRIC), focusing on computational neuroimaging and machine learning applications in medical diagnostics. Their work integrates advanced imaging techniques with AI to study brain development, neurological disorders, and prenatal environmental exposures. Dr. Wang holds a PhD from Nanjing University of Science and Technology and a fellowship from UNC.

Research interests include infant brain development modeling, MRI enhancement techniques, and predictive analytics for neurodegenerative diseases. Their team develops algorithms for longitudinal brain mapping, cortical surface analysis, and cross-species neuroimaging (e.g., macaques). Recent studies address prenatal drug exposure impacts, functional connectivity fingerprints, and Alzheimer's prediction using anatomical priors.

Awards include the University of North Carolina Fellowship. Their work bridges clinical radiology with computational science, emphasizing translational research for pediatric and geriatric neurological conditions.

Key contributions include the iBEAT V2.0 infant cortical reconstruction pipeline, 4D infant brain atlases, and frameworks for multi-site MRI harmonization. Current projects explore AI-driven diagnostics for autism and opioid-exposed infants, leveraging large-scale longitudinal datasets.