The Biomedical Proteomics group aims to develop robust proteomics pipelines for the phenotyping of patients through in-depth characterization of biofluid proteomes, the identification of new biomarkers and the improved comprehension of pathogenetic mechanisms.

The Data Science group strives R&D projects in the field of computational proteomics to master efficiently the successive steps from MS data acquisition and management to meaningful result production and biological knowledge extraction.

The EDyP team has established a strategic and local collaboration with CEA LETI, a world-leading institute in microelectronics, to adress challenging and breakthrough research projects at the interface between technology and biology.