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Prof. Weili Lin, PhD

Prof. Weili Lin, PhD
Name
Prof. Weili Lin, PhD
University

Director, Biomedical Research Imaging Center;
Dixie Lee Boney Soo Distinguished Professor of Neurological Medicine;
Professor and Vice-Chair of Basic Research, Radiology;
Professor, Biomedical Engineering, Neurology and School of Pharmacy;
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

Weili Lin currently serves as Director of the Biomedical Research Imaging Center
(BRIC) at the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. The BRIC houses a comprehensive collection of human and small animal imaging scanners, and 39 faculty members with diverse expertise on imaging-related topics.

Appointed the Dixie Lee Boney Soo Distinguished Professor of Neurological Medicine in 2011, Professor Lin is also Professor of Radiology, Neurology, Biomedical Engineering and Pharmacy at the University, and serves as Vice-Chair of Basic Research within its Department of Radiology. He was elected as a Fellow of the American Institute for Medical and Biological Engineering in 2012, Research Fellow of American Society of Neuroradiology in 2012, and distinguished Investigator of the Academy for Radiology and Biomedical Imaging Research Council in 2018, and has served on numerous National Institutes of Health (NIH) study sections as a regular or ad hoc member over the past 30 years.

Professor Lin has published more than 300 peer-reviewed articles with research interests focused on early brain functional and structural development, discerning cerebral haemodynamics and oxygen metabolism in patients with neurologic diseases, and technical development of hybrid positron emission tomography/magnetic resonance imaging approaches. He is the contact Principal Investigator for ongoing research on delineating early brain functional and structural development using non-invasive imaging approaches. For this research, awarded by the NIH Baby Connectome Project, his team has developed imaging protocols, imaging approaches and novel image analysis tools specifically tailored for analysing early brain development