His own research focuses on Computational Systems Biology of Cancer, and aims at understanding tumorigenesis and tumor progression using computational approaches and developing methodological approaches when needed. This means on one hand developing original statistical methods and biological network modeling approaches; and on the other hand conducting statistical analysis of high-throughput biological data, integration of heterogeneous data, and network modeling in the context of cancer. Among key results obtained by computational biology approaches are the elucidation of determinants of migration, invasion and metastasis in colon carcinoma using network modeling, the exploration of basal and luminal subtypes in bladder carcinoma using independent component analysis, or the deciphering of the signalling mechanisms explaining medulloblastoma heterogeneity.