CHAO HUANG

Chao Huang, PhD

Assistant Professor

Department of Epidemiology & Biostatistics - University of Georgia

Assistant Professor (courtesy)

Institute of Bioinformatics - University of Georgia

Department of Statistics - Florida State University

Department of Biomedical Sciences - Florida State University

Faculty Fellow

Institute for Artificial Intelligence - University of Georgia

Affiliate Faculty Member

Owens Institute for Behavioral Research - University of Georgia

Precision One Health Initiative - University of Georgia

Address: 211 B.S. Miller Hall, 101 Buck Road, Athens, GA 30602

Email: chaohuang AT uga DOT edu

[CV] [GitHub] [Google Scholar] [OCRID] [ResearchGate]

Education

PhD in Biostatistics University of North Carolina at Chapel Hill 2019
BS in Applied Mathematics Southeast University (China) 2008

Research Interest

Chao's research interests mainly focus on statistical learning of large-scale biomedical data including clinical, imaging, and genomic data. His research aims to develop novel statistical methods and machine learning (deep learning) algorithms for analyzing data with complex structures, including high dimensional data, functional data, manifold data, and data with heterogeneity. These statistical methods and computational tools can help us understand the disease progression and improve clinical trials for treatment and early prevention. Some projects that he is currently working on are big data integration, manifold data analysis, functional data analysis, imaging heterogeneity, imaging genetics, and deep learning. Chao is also interested in some public datasets including Alzheimer’s Disease Neuroimaging Initiative [ADNI], The Osteoarthritis Initiative [OAI], UK Biobank [UKB], Adolescent Brain Cognitive Development [ABCD], and Human Connectome Project [HCP].

Openings

Chao is looking for one or two highly motivated graduate students for Research Assistant positions. Please contact him through Email. You can also visit his office by appointment.

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