Weili Lin

Weili Lin is the Dixie Lee Boney Soo Professor of Biomedical Engineering and Radiology at the University of North Carolina. Her research focuses on advancing neuroimaging techniques and understanding developmental brain processes, particularly in pediatrics. She leads projects integrating machine learning with medical imaging to study neurocognitive development, prenatal exposures, and functional connectivity.

Key research interests include MRI technology innovations, longitudinal brain mapping, and AI-driven analysis of neurodevelopmental data. She collaborates on large-scale initiatives like the UNC/UMN Baby Connectome Project, investigating infant brain maturation and environmental impacts.

Her work spans clinical and computational domains, addressing challenges in fetal imaging, motion correction, and harmonization of multi-site datasets. Recent studies explore the effects of phthalates and opioids on infant neurodevelopment, leveraging GANs, transformers, and federated learning for predictive modeling.

Lin’s contributions include developing pipelines like iBEAT V2.0 for infant cortical surface reconstruction and frameworks for functional parcellation. She emphasizes translational research bridging imaging technology and clinical insights.