Mathieu Lagrange

Mathieu Lagrange is a CNRS Researcher at LS2N laboratory, jointly affiliated with Université de Nantes and École Centrale de Nantes. His work centers on computational experimentation frameworks and audio signal analysis.

Education

• PhD in Computer Science, University of Bordeaux (2004)
• Habilitation Thesis: Long Term Modeling of Sound Signals

Research Focus: Specializes in signal processing and machine learning for musical/environmental audio analysis. Pioneers reproducible research methodologies through the doce framework, emphasizing version control, data sharing, and automated experiment reporting. His work bridges computer science with cognitive psychology to model complex sound signals.

Contributions

• doce: Python library for computational experiment management
• Simscene: Sound scene generation toolkit (Matlab)
• kAverages: Clustering algorithms for similarity matrices (C)

Teaching

• Science And Music (Engineering School)
• Digital Audio Processing (Engineering School)
• Methodology in Science and Engineering (Doctoral)

Laboratory: Active member of the SIMS team within LS2N, focusing on cybernetics and computer science applications for audio systems.