The Bioinformatics and Artificial Intelligence Axis is dedicated to the development and application of advanced computing technologies for the processing and analysis of massive data in biomedical research. Areas covered include genomics, transcriptomics, proteomics, high-throughput screening and the modeling of three-dimensional structures. These activities also involve biostatistical models, deep neural network architectures, advanced combinatorial and indexing algorithms.

This axis plays a fundamental role in combining methodological innovation and practical applications in the field of oncology. The tools and approaches developed enable the identification of therapeutic targets, diagnostic and prognostic biomarkers and new tumor antigens, as well as the design of new therapeutic molecules. This work strengthens the ability of experimental teams to analyze and interpret complex data, while supporting translational research.

Axis leader: Sébastien Lemieux

Primary affiliations: François Major

Secondary affiliations: Delphine Bouilly, David Knapp, Jean-Claude Labbé, Anne Marinier, Guy Sauvageau, Pierre Thibault, Vincent Trinh.