Maxime Sermesant

Maxime Sermesant serves as a permanent researcher at Inria, holding dual leadership roles as Head of Computational Cardiology at Inria Epione and Head of Multimodal Data Science at IHU Liryc. He is affiliated with the 3IA (Interdisciplinary Institute of Artificial Intelligence) at the University of the Côte d'Azur as a Chairholder, and co-founded both inHEART (serving as scientific advisor) and Therapixel.

His research bridges artificial intelligence with physiological modeling to address critical healthcare challenges, particularly in cardiology. By integrating biophysical models as physiological priors into AI systems, he enhances robustness and explainability in medical applications. Core methodologies include reformulating clinical problems through biophysical simulations, learning spatiotemporal dynamics from physiological data, and augmenting AI features with simulated cardiac behavior. This approach spans biomedical image analysis, computational organ modeling, and machine learning for cardiac diagnostics.

• Scientific Awards: No awards specified in source materials

Sermesant's entrepreneurial leadership through inHEART and Therapixel demonstrates translational impact, converting research into clinical tools for personalized cardiac care and medical imaging. While specific grant details aren't provided, his 3IA Chairholder position and leadership of two major research units indicate substantial project funding and collaborative networks within France's medical AI ecosystem.

He directs the Computational Cardiology group at Inria Epione and the Multimodal Data Science team at IHU Liryc, focusing on developing AI-driven cardiac simulation frameworks that merge imaging data with biophysical models. Current work emphasizes creating clinically actionable digital twins of patient hearts to improve arrhythmia diagnosis and treatment planning.