Life science researcher at the French CNRS, focusing on using computational methods, particularly artificial intelligence, to predict, prevent, and better treat cardio-metabolic disorders, such as diabetes, obesity, steatosis, meta-inflammation and related affections.

I have a background in neuroscience, molecular and cellular biology, bioinformatics, mathematical modelling and data visualisation. I published research in many areas of computational biology such as molecular phylogeny, molecular modelling, transcriptomics, system modeling and quantitative systems pharmacology (QSP). I have also a fairly large awareness of knowledge representation in the life sciences, including databases, ontologies and standard formats. While my research is conducted in academia, I collaborated extensively with the pharma industry and was a consultant for clinical research.