The research is directed towards application, analysis, and development of data mining and modeling techniques to understand mechanisms and construct predictive models related to complex biological processes of relevance in medical, agronomical and environmental sciences. In particular, the focus is on the identification of biomarkers and diagnostic/prognostic/treatment response criteria from mixed data sources (mass-spectrometry based proteomics, gene expressions, SNP based genotyping, genetic and proteomic sequences, ontologies, images).
