Guorong Wu (PI) is an Assistant Professor in the Department of Psychiatry and Department of Computer Science at the University of North Carolina, Chapel Hill. He is the recipient of NIH Career Development Award. His research interests are medical image analysis, machine learning, scientific data visualization, and computer assisted diagnosis. He is interested in the data-driven research to explore neuroscience problems and systematic solution to improve the healthcare in clinic practice. Currently, he leads several NIH and NSF funded research projects include (1) early diagnosis of Alzheimer’s disease by longitudinal image analysis, (2) longitudinal analysis of the dynamic network disruptions in Alzheimer’s disease, (3) biomarkers across neurodisorders, (4) 3D nuclear segmentation for light sheet microscopy images of mouse brain, and (5) spontaneous pain assessment using deep learning technology.
Mustafa obtain the Master's degree on Computer Science from UNC-Greensboro in 2021. He is working analyzing large-scale light-sheet microscopy images of mouse brain.
Dr. Dan is a Post-Doc research associate in ACM lab. She earned her Ph.D. in Computer Science from South China University of Technology, China, in 2023. Her research interests include medical image analysis, computational neuroscience, and geometric deep learning. Her current research project is developing cutting-edge machine learning methods for complex biomedical data.
Jiaqi is a PhD student from the Department of Computer Science at UNC-Chapel Hill. She is interested in machine learning for functional neuroimages.
Zhentao is a PhD student from Department of Biostatistics at UNC-Chapel Hil. He is working on multi-variate statistical model for high-dimension biomedical data, with the focus on Alzheimer's disease.
Md Asadullah Turja
Md Asadullah Turja is a graduate research assistant in ACM lab. He is now Ph.D. student in the Department of Computer Science at the University of North Carolina at Chapel Hill. He received his Bachelor degree in Computer Science and Engineering in 2016 in Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. His research interests are medical image analysis, graph mining, and machine learning. His current project is longitudinal network analysis with application to neurodegenerative diseases.
Jie is a phd student at the Department of Biostatistics in UNC. She is developing high-dimensional statistical model to answer the biological questions such as health disparity. She is co-supervised by Dr. Hongtu Zhu and Dr. Wu.
Huan is currently a Research Assistant at ACM lab. His research focus is developing novel computational model for functional neuroimages.
Zhuoyu is a sophomore student at UNC-Chapel Hill majoring in Psychology and Computer Science and minoring in Neuroscience. She plans to attend graduate school and delve further into brain after graduation.
Benjamin Leinwand is a Statistics PhD student in UNC Chapel Hill’s Department of Statistics and Operations Research. He was co-supervised by Drs. Vladas Pipiras and Guorong Wu.
Dr. Yang was a visiting scholar in ACM lab from 2018 to 2020. He worked on hub identification methods when he was in UNC.
Amr Moussa was a Research Assistant in ACM lab from 2016 to 2018. Amr was a software developer that specializes in 3D rendering techniques and hardware acceleration.
Dr. Chen was a visiting student at ACM lab from 2018 to 2019. He is working with Dr. Wu in developing harmonic network analysis approaches.
Yi was a visiting student at ACM lab from 2018 to 2019. He worked with Dr. Wu in developing graph learning approaches for brain network analysis. He is the graduate student at Washington University at St. Louis now.
Anqi was a visiting student at ACM lab from 2018 to 2019. He developed a graph-based reinforcement learning method to brain network hub identification.
Dr. Hou was a visiting scholar at ACM lab from 2018 to 2019. He is interested in graph signal processing.
Ying is currently the phd student in Biostatistics Department at UNC-CH. She worked with Dr. Wu in cognitive reserve project from 2019 to 2020.
Di is currently the phd student in Biostatistics Department at UNC-CH. She worked with Dr. Wu in identifying regional resilience effect of amyloid and tau biomarker from 2020 to 2021.
Yajing is currently the phd student in Biostatistics Department at UNC-CH. In ACM lab, she worked on polygenetic risk score for Alzheimer's disease.
Chuning (Camille) Liu
Camille is currently the phd student in Biostatistics Department at UNC-CH. She worked on GWAS, gene expression data analysis when she was in ACM lab from 2019 to 2021.
Lang is a phd student in the Department of Biostatistics at UNC-CH. He worked with Dr. Wu in developing statistical model for cognitive reserve.
Andrew worked with Dr. Wu on graph neural networks from 2020 summer to 2021 when he was the high school senior student. He is now the undergraduate student at Wharton school of the University of Pennsylvania.
Dr. Wang was a visiting schloar at ACM lab from 2017 to 2018. She worked with Dr. Wu in developing nuclei segmentation method for light-sheet microscopy images using deep learning technique.
Dr. Tang was a visiting schloar at ACM lab from 2015 to 2016. He is interested in sparse optimization technique.
Dr. Liu joined ACM lab in 2018 as a visituing scholar. She first worked in BRIC then moved to the Department of Psychiatry with Dr. Wu in August, 2018. She worked on functional brain network analysis when she was visiting ACM lab.
Dr. Cao was a visiting scholar at ACM lab from 2018 to 2019. Her research interest is image processing and optimization.
Yutong is currently the phd student in Biostatistics Department at UNC-CH. She worked with Dr. Wu on multilevel brain network analysis from 2015 to 2016 school year.
Yueting was the master student in Biostatistics Department at UNC-CH. She worked with Dr. Wu on longitudinal mix-effect model for Alzheimer's in 2018.
Dr. Niu joined ACM lab in January 2022 as a postdoc scholar. He worked on functional brain network analysis.
Elodie is the research intern from CPE Lyon, France. She was developing a new data processing pipeline in Slicer which combines the DTI image processing, fiber tracking, and network construction for both cortical and sub-cortical regions.
Dehuv joined ACM lab in 2019. He was studying Riemannian manifold theory for functional dynamics.
Junbo Ma is a Post-Doc research associate in ACM lab. He earned his Ph.D. in Computer Science from Massey University, New Zealand, in 2019. He was working on 3D nucleus instance segmentation on tissue clearing light-sheet microscopy images.
In Memorial of
Daniel I. Kaufer, MD
March 7, 1959 - July 2, 2020