Shuhao Jiao is a Postdoctoral Fellow under the supervision of Prof. Hernando Ombao at the Biostatistics Research Group (BIOSTATS), King Abdullah University of Science and Technology (KAUST).

Dr. Jiao received his Ph.D. in 2019 from the Department of Statistics, University of California, Davis. He is broadly interested in statistical problems in learning complicated neuroimage. He addresses these problems using novel statistical theory and methods in functional data analysis and machine learning.

Education and Early Career

2019: Ph.D., Department of Statistics, University of California, Davis.

2014: BSc (Mathematics & Statistics), Shandong University, Jinan, China.

Research Interest

Functional data analysis, Time series analysis, Network model, and application study on neuroimage data.

Selected Publications

Jiao, Shuhao, Alexander Aue, and Hernando Ombao. "Functional time series prediction under partial observation of the future curve." Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2021.1929248. (2021)
Jiao, Shuhao, and Hernando Ombao. "Shape-Preserving Prediction for Stationary Functional Time Series." arXiv preprint arXiv:1910.12046 (2019).
Jiao, Shuhao, Ron D. Frostig, and Hernando Ombao. "Variation Pattern Classification of Functional data with Application to Brain Signals." arXiv preprint arXiv:2004.00855 (2020).
Jiao, Shuhao, Ron D. Frostig and Hernando Ombao. "Break Point Detection of Functional Covariance." arXiv preprint arXiv:2006.13887 (2020).
Jiao, Shuhao, Tong Shen, Zhaoxia Yu, and Hernando Ombao. "Change-point detection using spectral PCA for multivariate time series." arXiv:2101.04334. (2021)
Jiao, Shuhao, Ron D. Frostig and Hernando Ombao. "Filtrated Common Functional Principal Components for Multivariate Functional data." arXiv:2106.01104. (2021)