Meet The Team
Professor, Statistics
Hernando Ombao
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)
Biostatistics Group
https://cemse.kaust.edu.sa/biostats
Faculty
https://www.kaust.edu.sa/en/study/faculty/hernando-ombao
Orcid
Research Interests
Professor Ombao’s research interest is in the statistical modeling of time series data and visualization of high dimensional signals and images. He has developed a coherent set of methods for modeling and inference on dependence in complex brain signals; testing for differences in networks across patient groups; biomarker identification and disease classification based on networks and in modeling association between high dimensional data from different domains (e.g., genetics, brain function and behavior).
FocusAndTechnologyAreas
- Ph.D. in Biostatistics, University of Michigan 1999
- M.Sc. in Statistics, UC Davis, 1995
- B.Sc. in Mathematics, University of the Philippines, Diliman, 1989
- Ombao H, Fiecas M, Ting CM and Low YF. (2017+). Statistical Models for Brain Signals with Properties that Evolve Across Trials. NeuroImage, Accepted for publication.
- Wang Y, Ombao H and Chung M. (2017+). Persistence Landscape with Application to Epileptic Seizure Encephalogram Data. Annals of Applied Statistics, Accepted for publication.
- Fiecas M and Ombao H. (2016). Modeling the Evolution of Dynamic Brain Processes During an Associative Learning Experiment. Journal of the American Statistical Association, 111, 1440-1453.
- Yu Z, Prado R, Burke E, Cramer S and Ombao H. (2016). A Hierarchical Bayesian Model for Studying the Impact of Stroke on Brain Motor Function. Journal of the American Statistical Association, 111, 549-563.
- Ombao H, Lindquist M, Thompson W and Aston J. (2016). Handbook of Statistical Methods for NeuroImaging. CRC Press. ISBN 9781482220971
