CHAO HUANG

Assistant Professor . Department of Statistics . Florida State University

Chao received his Ph.D. degree in Applied Mathematics from Southeast University in 2014, and Ph.D. degree in Biostatistics from University of North Carolina at Chapel Hill in 2019.

For a complete list of publications, see his Google Scholar. For a complete list of developed software, see his GitHub. For more details about Chao's background, please read his CV.

NEWS

07/19 Chao finished his thesis "Advanced statistical learning methods for heterogeneous medical imaging data" (advisor: Dr. Hongtu Zhu)

RESEARCH

Chao's research interests mainly focus on statistical learning of large-scale biomedical data including clinical, imaging, and genomic data. The goal of his research is 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 the 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].

SELECTED PUBLICATIONS

Huang, C., Thompson, P., Wang, Y., Yu, Y., Zhang, J., Kong, D., Colen, R., Knickmeyer, R., and Zhu, H. FGWAS: Functional genome wide association analysis. NeuroImage, 159, 107-121, 2017.
Li, J., Huang, C., and Zhu, H. A functional varying-coefficient single index model for functional response data. Journal of the American Statistical Association, 112, 1169-1181, 2017.
Jin, Y., Huang, C., Daianu, M., Zhan, L., Dennis, E., Reid, R., Jack, C., Zhu, H., and Thompson, P. 3D tract-specific local and global analysis of white matter integrity in Alzheimer’s disease. Human Brain Mapping, 38, 1191-1207, 2017.
Hyun, J., Li, Y., Huang, C., Styner, M., Lin, W., and Zhu, H. STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. NeuroImage, 134, 550-562, 2016.
Huang, C., Styner, M., and Zhu, H. Clustering High-Dimensional Landmark-based Two-dimensional Shape Data. Journal of the American Statistical Association, 110, 946-961, 2015.
Huang, C., Shan, L., Charles, C., Wirth, W., Niethammer, M., and Zhu, H. Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data. IEEE Transactions on Medical Imaging, 34, 1914-1927, 2015.
Huang, M., Nichols, T., Huang, C., Yang, Y., Lu, Z., Feng, Q., Knickmeyer, R., and Zhu, H. FVGWAS: Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data. NeuroImage, 118, 613-627, 2015.

TEACHING

2019 Fall STA 4442/5440 INTRODUCTION TO PROBABILITY.

Contact

The best way to contact Chao is through Email. You can also visit his office by appointment: Dirac Science Library 462, 110 N Woodward Ave, Tallahassee, FL 32301.