Member

Dr. Gang Li is a Full Professor in the Department of Radiology at the University of North Carolina at Chapel Hill. He received his PhD in 2010 from Northwestern Polytechnical University. He was a Research Fellow at The Methodist Hospital Research Institute, Weill Medical College of Cornell University and Harvard Medical School. He is the recipient of the UNC Junior Faculty Development Award, NIH K01 Career Award, and the Distinguished Investigator Award of the Academy for Radiology & Biomedical Imaging Research.

Dr. Zhengwang Wu is a Research Instructor at the University of North Carolina at Chapel Hill. He got his PhD degree in pattern recognition and intelligent system from Xi’an Jiaotong University, China. His research focuses on computer vision, machine learning, pattern recognition methods, and their applications in medical image segmentation, classification and visualization. He is currently working on infant cortical surface atlas construction and computational pipeline development, as well as using state-of-the-art machine learning methods for infant MRI data analysis.

Dr. Dan Hu is a Research Instructor at the University of North Carolina at Chapel Hill. She earned her PhD in Applied Mathematics from Beijing Normal University, China. Her research centers on developing innovative machine learning and deep learning methods for neuroimaging-based brain analysis, with a focus on modeling typical/atypical brain development and aging, structural and functional brain mapping, individualized characterization of brain functional connectivity, and multimodal data engineering.

Dr. Jiameng Liu is a postdoctoral researcher at the University of North Carolina at Chapel Hill under the supervision of Prof. Gang Li. His research focuses on structural MRI analysis, including brain extraction, tissue segmentation, regional parcellation, and cerebellar structure delineation.

Dr. Kangfu Han is a postdoctoral researcher at the University of North Carolina at Chapel Hill. He received his Ph.D. degree in biomedical engineering from Southern Medical University, China. His current research focuses on the development and validation of novel deep learning-based methods for computer-aided brain disease diagnosis.

Dr. Xinrui Yuan is a Postdoctoral Researcher at the University of North Carolina at Chapel Hill. Her research focuses on analyzing cortical surface data to better understand brain structure and function.

Jiale Cheng is a PhD student at the Joint Department of Biomedical Engineering of the University of North Carolina at Chapel Hill and North Carolina State University. His current research focuses on the development of deep learning-based methods for analyzing cortical surface data.

Xiuyu Dong is a PhD student at the Joint Department of Biomedical Engineering of the University of North Carolina at Chapel Hill and North Carolina State University. Her current research focuses on developing deep learning tools for cortical surface reconstruction.

Weiran Xia is a PhD student in Biomedical Engineering at the University of North Carolina at Chapel Hill. His research focuses on functional MRI (fMRI) and brain connectivity analysis, with an emphasis on understanding brain network organization and development. He is particularly interested in developing computational methods for modeling functional connectivity patterns in neuroimaging data.

Qingrui Sha is a PhD student in the Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill and North Carolina State University. His current research focuses on atlas construction and image registration.

Kun Wang is a PhD student at Guangzhou University of Chinese Medicine and currently a visiting PhD student at the University of North Carolina at Chapel Hill. Her current research focuses on neuroimaging analysis and its clinical applications.