Hernando Ombao

Professor, Applied Mathematics and Computational Science
Computer, Electrical and Mathematical Science and Engineering Division


Education Profile

  • ​​​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

Research Interests

Professor Ombao’s research interest is in the statistical modeling and visualization of high dimensional signals and images. He has developed a coherent set of methods for modeling dependence in complex brain signals; testing for differences in networks across patient groups; and biomarker identification and disease classification based on networks.

Selected Publications

  • Ombao H, Lindquist M, Thompson W and Aston J. H​andbook of Statistical 
    ​Methods for NeuroImaging. CRC Press. 2016. ISBN 9781482220971 
  • Ombao, H. and Van Bellegem (2008). Coherence Analysis: A Linear Filtering Point Of View. IEEE Transactions on Signal Processing, 56(6), 2259-2266.
  • 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, 549-563.
  • Wang Y, Ting CM and Ombao H. (2016). Modeling Effective Connectivity in High Dimensional Source Signals From EEG. IEEE Journal of Selected Topics in Signal Processing, 10, 1315-1325.
  • ​ Fiecas M and Ombao H. (2016). Modeling the Evolution of Dynamic Brain Processes During an Associative Learning Experiment. Journal of the American Statistical Association, In Press.