Our Team

Florent has been leading the development of noise-based seismic monitoring technologies for over a decade. He is the recipient of the 2009 American Geophysical Union Aki Young Scientist Award. At SAFE, Florent leads the scientific development of our seismic detection algorithms and oversees the validation of our vehicle classification systems across different urban environments.

Quentin specializes in large array seismic datasets and is an expert in continuous signal processing and machine learning techniques. At SAFE, he developed the core algorithms that power our real-time vehicle detection system, creating innovative solutions for processing massive streams of seismic data and implementing advanced ML models for traffic pattern recognition.

Aurélien developed the first applications of noise-based passive seismic imaging using dense industrial seismic networks in offshore environments. His background as an academician and experience in the Oil & Gas industry brings crucial expertise to SAFE's sensor deployment strategies and network optimization for urban traffic monitoring applications.