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Nicolas Gambardella

New paper: Nicolas Gambardella, Smaïn Fettem, Mathilde Boissel, Lijiao Ning, Violeta Raverdy, Marwas Afnouch, Souhila Amanzougarene, Medhi Derhourhi, Bénédicte Toussaint, Emmanuel Vaillant, Amna Khamis, Philippe Lefebvre, Bart Staels, François Pattou, Philippe Froguel, Amélie Bonnefond (2025) Deep learning models reading clinical data and liver omics strongly distinguish NASH from steatosis and suggest new genes involved in liver disease severity. bioRxiv, 10.1101/2025.10.10.681581.
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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.

I also spent five years as an independent science writer and biomedical translator. Besides my professional translations, I translated science-fiction novels, in particular the Toucan Trilogy and Eden Chip written by Scott Cramer.

[A concise definition of systems biology][A concise history of systems biology]