Florence Levé is a full Professor in Computer Science at the University of Picardy Jules Verne within the College of Sciences. She is affiliated with multiple research teams including MIS (Modeling, Information, Systems) Amiens, SDMA Team, and Algomus Team, while associated with CRIStAL (UMR 9189). Her research focuses on the intersection of computer science, music information retrieval, and computational modeling of musical structures. Key Institutions: University of Picardy Jules Verne, CRIStAL Research Themes: Musical texture analysis, rhythm processing, human-AI co-creation in music Research Interests span computational modeling of musical structures, symbolic music processing, and interdisciplinary applications in neuroscience and digital humanities. Her recent work explores rhythmic complexity across cortical and subcortical auditory areas, texture annotation in classical compositions, and algorithmic orchestration techniques. Publications Trends show sustained focus on computational approaches to musical texture and rhythm. Key areas include symbolic music analysis (Mozart, Corelli), AI-assisted composition, and mathematical modeling of auditory processing across species. Collaborative work with researchers in neuroscience, musicology, and sound engineering reveals multidisciplinary scope. Research Networks include collaborations with: Mathieu Giraud (Computational Musicology) Fabrice Wallois (Neuroscience Applications) Christophe d'Alessandro (Organ Acoustics) Laboratory Affiliations : MIS (Modeling, Information, Systems) Amiens SDMA Team Algomus Team Associated with CRIStAL (UMR 9189 CNRS)












