Full professor
Department of Pediatrics
Faculty of Medicine

One of our key goals in this post-genomic era is to translate the data produced by cell biology and genomics into a better understanding of the normal cell, ultimately resulting in an understanding of the primary mechanisms of diseases and novel treatments. Our research program is dedicated to the role of the endosomal apparatus in complex diseases, with a focus on a better understanding of the relationship that exists between insulin sensitivity, clearance, and production. We found a module related to type 2 diabetes (T2D) located in the close proximity of the internalized insulin receptor. This finding indicates that while the genetics of T2D is complex, it converges towards a few non-canonical pathways and primary mechanisms connecting insulin resistance, clearance, and production.

Recent reviews:

Our project now bridges several disciplines, including immune-mediated inflammatory diseases and cancer, involving multi-omic analysis, machine learning, and network analysis. We jointly developed a novel software called enrichViewNet, which enables the visualization of enrichment results as networks (DOI: 10.18129/B9.bioc.enrichViewNet). This tool is now part of the curated BioConductor platform.