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Guorong Wu, PhD

Principal Investigator

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.

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Sang Kyoon Park, MS

Research Instructor

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.

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Junbo Ma, PhD

Post-doc

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.

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Zhentao Yu

Ph.D. Student

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.

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Md Asadullah Turja

Ph.D. Student

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.

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Dehuv Patel

Ph.D. Student

Dehuv Patel is a Statistics PhD student in UNC Chapel Hill’s Department of Statistics and Operations Research. He is co-supervised by Drs. Vladas Pipiras and Guorong Wu, studying Riemannian manifold theory for functional dynamics.

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Jie Chen

Ph.D. Student

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.

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Mustafa Dere

Research Specialist

Mustafa obtain the Master's degree on Computer Science from UNC-Greensboro in 2021. He is working with Dr. Wu in developing deep learning techniques for causal inference.

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Hyejin Yang

Programmer

Hyejin will join ACM lab in Oct, 2021. She obtain the Bachelor's degree in Math from KAIST in Korea, 2015. She is developing cloud-based solution for 3D nuclei segmentation project.

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Matthew Kaminsky

Programmer

Matt is a undergraduate student at Georgia Tech. He joined AMC lab in the summer, 2021. He is working on the cloud-based database to manage biomedical and multi-omics data in ACM lab.

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Elodie Piot

Visiting Student

Elodie is the research intern from CPE Lyon, France. She is developing a new data processing pipeline in Slicer which combines the DTI image processing, fiber trakcing, and network construction for both cortial and sub-cortical regions.

Previous Members

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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.

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Defu Yang

Dr. Yang was a visiting scholar in ACM lab from 2018 to 2020. He worked on hub identification methods when he was in UNC.

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Amr Moussa

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.

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Jiazhou Chen

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.

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Yi Lin

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.

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Anqi Chen

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.

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Jia Hou

Dr. Hou was a visiting scholar at ACM lab from 2018 to 2019. He is interested in graph signal processing.

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Dr. Zhu was a post-doc from 2015 to 2017. She is now the faculty member at ECE department at University of Texas, Arlinton.

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Pei Dong

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.

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Zhengxia Wang

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.

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Chen Zu

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.

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Shaoyu Wang

Dr. Wang was a visiting scholar in ACM lab from 2016 to 2017. He was interested in image segmetation.

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Ying Zhang

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.

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Di Hu

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.

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Yajing Hao

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.

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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.

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Lang Li

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.

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Andrew Zhen

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. 

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Qian Wang

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.  

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Yuchao Tang

Dr. Tang was a visiting schloar at ACM lab from 2015 to 2016. He is interested in sparse optimization technique.  

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Xin Liu

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.

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Hanwen Cao

Dr. Cao was a visiting scholar at ACM lab from 2018 to 2019. Her research interest is image processing and optimization.

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Yutong Liu

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.

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Yueting Wang

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.