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).