Emmanuel Barillot research focuses on Computational Systems Biology of Cancer and aims at understanding tumorigenesis and tumor progression using artificial intelligence for analysing high-throughput multimodal data of tumors like multiomics, imaging and other health record data. Both these data and prior knowledge are combined in frameworks that aim at building digital twins to predict drug response and improve therapeutic strategies. These approaches use machine learning as well as modeling and simulation of signaling networks and of spatial organization.

Emmanuel Barillot heads the Department of Computational Oncology at Institut Curie (U900 INSERM, in partnership with Mines ParisTech). He is also Scientific Director of the institut Curie Bioinformatics Core Facility, which is expert in biological data integration, omics data analysis, and support for precision medicine. He also holds a Chair in Cancer Genomics at the Paris Artificial Intelligence Research Institute (PRAIRIE). Emmanuel Barillot has published ~250 articles in bioinformatics, genomics, systems biology, cancer biology, translational and clinical cancer research, biophysics and computer science.