Martin Genet

Martin Genet is a Professor in the Department of Mechanics at École Polytechnique, Palaiseau, France, and a Researcher with the MΞDISIM team at INRIA. His research bridges computational mechanics and biomedical engineering to advance cardiology and pulmonology through physics-based modeling, simulation, and clinical data integration.

Education:

• 2022: Accreditation to supervise research (HdR), École Polytechnique, France
• 2010: Ph.D. in Computational Materials Science, École Normale Supérieure de Cachan, France
• 2006: M.S. in Computational Mechanics, École Normale Supérieure de Cachan, France (First in class)
• 2004: B.S. in Mechanical Engineering, École Normale Supérieure de Cachan, France
• 2004: B.S. in Fundamental Physics, Orsay University, France

Research Interests: Genet pioneers cardiac and pulmonary biomechanics through multiscale modeling of living tissues, simulation tools for disease prognosis, and parameter estimation from medical imaging to create personalized digital twins. His work integrates computational mechanics with clinical data to develop objective diagnostic tools and patient-specific therapies, emphasizing heart/lung mechanics and growth-remodeling phenomena.

Scientific Awards:

• Young Investigator Award from Francophone Society for Biomechanics (2018)
• ENS-Cachan Prize for International Action (2008)
• SAMPE French Student Award (2008)
• Marie-Curie International Outgoing Fellowship (2012-2015)

Grants and Advising: As Principal Investigator, Genet secured major grants including an ANR Young Investigator Grant (2019-2025) for Computational Lung Biomechanics and an EIC Pathfinder Grant (2022-2026) for low-field MRI spirometry. He mentors postdoctoral researchers like Dr. K. Škardová (Engineering4Health Fellowship) and collaborates with medical institutions on pulmonary fibrosis modeling and COVID-19 sequelae research.

Laboratories: He leads research at École Polytechnique's Solid Mechanics Laboratory (LMS) and INRIA's MΞDISIM team, focusing on computational frameworks for cardiac/pulmonary systems and translating biomechanical models into clinical decision-support tools.