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The Biostatistics Group welcomes inquiries about PhD, MS and Post-Doctoral positions. We are seeking for exceptional candidates with a strong background in time series analysis, functional data analysis, multivariate analysis, statistical learning, statistical signal processing. Proficiency in R and Python and familiarity with Unix will be a plus. Hernando Ombao Professor, Statistics Principal Investigator, Biostatistics

Publications

Publications

Note: * means PhD student as first author. 2024 (146.) *Granados-Garcia, G., Prado, R., & Ombao, H. (2024). Bayesian Nonparametric Multivariate Mixture of Autoregressive Processes with Application to Brain Signals. Econometrics and Statistics. DOI: 10.1016/j.ecosta.2024.01.004 (click here) (147.) Khan, H., Khadka, R., Sultan, M. S., Yazidi, A., Ombao, H., & Mirtaheri, P. (2024). Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface. Frontiers in Human Neuroscience, 18, 1354143. DOI: 10.3389/fnhum.2024

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Biostatistics Research Group

Professor Hernando Ombao leads the so-called BIOSTATS research group, which stands for Biostatistics Research Group The KAUST Biostatistics Group develops novel statistical methods and models for biological processes with complex dependence structures. Our research spans a number of areas with statistics: time series analysis, spectral analysis, functional data analysis, computational statistics, Bayesian models and data visualization.

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Awards and Distinctions

2017 Hernando Ombao, Mid-Career Award for Research Excellence, UC Irvine School of Information and Computer Sciences 2016 Hernando Ombao elected Fellow of the American Statistical Association Student Awards 2018 PhD student Dustin Pluta (Statistics, UC Irvine) was awarded by the American Statistical Association for his paper Adaptive Mantel Test for Penalized Inference, with Applications to Imaging Genetics. PhD student Dustin Pluta (Statistics, UC Irvine) was awarded by the ENAR International Biometrics Society for his paper Adaptive Mantel Test for Penalized Inference, with Applications to

Biostatistics Research Group - Toolboxes

Several toolboxes have been developed inside the Biostatistics Research Group. Along with the formal treatment of the respective statistical models, we also focused on developing applications that can fulfill the requirements in the research community and other spaces where the models could be applied. Thus, we provide reliable software that can be used as a complement of other research pipelines while maximizing the dissemination of our research output. Our toolboxes are also focused on reducing user concerns such as data privacy sensitivity (RITS), memory and time computation optimization

Highlights

August 2021 New paper “Shape-preserving prediction for functional time series” by Post-Doc Jiao published at the Electronic Journal of Statistics. Shuhao Jiao and Hernando Ombao: Shape-preserving prediction for functional time series. July 2021 New paper on intrinsic connectivity network for fMRI data. Meini Tang , Chee-Ming Ting , Hernando Ombao - BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data. New paper “Shape-preserving prediction for functional time series” by Post-Doc Jiao accepted for publication at the Electronic

Pre-Prints

PRE-PRINTS Ting, C. M., Noman, F., Phan, R. C. W., & Ombao, H. (2024). Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization. arXiv:2401.16928. El-Yaagoubi, A. B., Jiao, S., Chung, M. K., & Ombao, H. (2023). Spectral Topological Data Analysis of Brain Signals. arXiv:2401.05343. Pinto-Orellana, M. A., Ombao, H., & Lopour, B. (2023). Statistical Inference for Modulation Index in Phase-Amplitude Coupling. arXiv:2310.05398. Muttakin, M. N., Sultan, M. S., Hoehndorf, R., & Ombao, H. (2023). Stylized Projected GAN: A Novel Architecture for Fast and

Visitors

2020 Upcoming Visitors: Abe, Toshihiro. Associate Professor of Statistics, Nanzan University, Japan. Website Chung, Moo. Associate Professor of Statistics, University of Wisconsin, USA. Website Hirukawa, Junichi. Associate Professor of Statistics, Niigata University, Japan. Website Lee, Hyekyoung. Korea Advanced Institute of Science and Technology, South Korea. Website Liu, Yan. Assistant Professor of Statistics, Waseda University, Japan. Website Shiohama, Takayuki. Associate Professor of Statistics, Tokyo University of Science, Japan. Website Taniguchi, Masanobu. Professor of Statistics