Professor of Psychiatry and Computer Science
UNC Hospitals – Chapel Hill
Education and Training:
Masters in Computer Science & Engineering; Swiss Federal Institute of Technology (Eidgenössische Technische Hochschule [ETH]) Zürich, Switzerland
Graduate work at the Swiss Federal Institute of Technology (Eidgenössische Technische Hochschule [ETH]) Zürich, Switzerland
Ph.D., Computer Science, University of North Carolina at Chapel Hill
Dr. Styner is one of the leading experts in medical image computing with specific research on developing and applying novel neuroimaging methods as well as software tools for structural and diffusion MRI, mainly aimed at early postnatal brain development. His research encompasses a broad range of applications in human and non-human primate neuroimaging. Dr. Styner has co-authored over 500 papers in peer-reviewed journals and conferences. At his Neuro Image Research and Analysis Laboratory, he oversees medical imaging research projects in the field of neurodevelopment with applications to normal development, autism, fragile-X, Angelman Syndrome, and prenatal exposure studies. His current methodological focus is on deep learning-based data analysis, structural shape analysis, and brain connectomics.