Guorong Wu, PhD
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.
Sang Kyoon Park, MS
SK Park holds the master's degree from KAIST, Korea. His lifelong question is to model how a world works in a mathematical manner. So latter half of his study was focused on the topics including simulation and machine learning. He has studied various fields and tried to use those knowledge for a real problems. He has programmed with several languages since 30 years ago, which helped him when he studied those subjects. His current projects include automatic mouse grimace and DTI image processing.
Junbo Ma, PhD
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. His research interests include medical image analysis, computational neuroscience, and interpretable machine learning. His current research project is 3D nucleus instance segmentation on tissue clearing light-sheet microscopy images.
Keshi He, PhD
Keshi He is a Post-Doc research associate in ACM lab. He earned his Ph.D. in Precision Instruments from Shanghai Jiao Tong University, in 2015. He hes extensive experience in machine learning, computer vision, particularly in robotics, biomedical and health informatics. His current research project is high throughput image registration methods for extreme large microscopy images.
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.
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.
Dr. Dong was the postdoc at ACM lab from 2015 to 2018. He is interested in hypergraph techniques with the application in multi-atlas segmentation.
Dr. Wang was a visiting scholar in ACM lab from 2014 to 2015. She was working on graph-based machine learning techniques for disease diagnosis.
Dr. Zu was a visiting student in ACM lab from 2015 to 2016. He deveoped a motif-based method for discovering connectome biomarkers for neurodisease.
Dr. Wang was a visiting scholar in ACM lab from 2016 to 2017. He was interested in image segmetation.
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.