⭔ Positions:
| 2023+ | Research fellow at CNRS (Section 06), France UMR 9189 – CRIStAL |
| 2022 | Invited researcher at KTH Royal Institute of Technology, Stockholm, Sweden Division of Speech, Music and Hearing |
| 2021-2022 | Postdoctoral researcher at University of Lille, France Algomus team |
| 2019-2020 | Postdoctoral researcher at EPFL, Lausanne, Switzerland Digital and Cognitive Musicology Lab |
| 2018 | Postdoctoral researcher at IRCAM, Paris, France Musical representation team |
| 2015-2018 | Ph.D. student at Inria, Nancy & IRCAM, Paris, France Multispeech team |
⭔ PH.D. Thesis:
Learning of Musical Structures in the Context of Improvisation
Supervisors:
⭔ Emmanuel Vincent – Senior Researcher, Inria Nancy, France
⭔ Gérard Assayag – Senior Researcher, IRCAM, France
Reviewers:
⭔ Elaine Chew – Professor, Queen Mary University of London, UK
⭔ Maxime Crochemore – Professor, King’s College London, UK
Examiners:
⭔ Florence Levé – Lecturer, University of Picardie, France
⭔ Kamel Smaïli – Professor, University of Lorraine, France
⭔ Diplomas:
- M.Sc. in Acoustics, Signal Processing, and Computer Science Applied to Music (ATIAM) – IRCAM, UPMC, Paris, France
Thesis: Learning of multidimensional music structures with probabilistic models (Supervisors: Emmanuel Vincent & Gérard Assayag) - M.Sc. in Theoretical Computer Science – University of Rouen, France
Thesis: Theme and variations analysis with dynamic programming and timed-automata (Supervisor: Mathieu Giraud) - M.Eng. in Applied Mathematics – INSA Rouen, France
Thesis: Automatic generation of 4-voice Renaissance style counterpoint on a Cantus Firmus (Supervisor: Nathalie Chaignaud)
⭔ Teaching:
- AI and musical creativity, M.Art – University of Lille
- Programming for music analysis and generation, M.Art – University of Lille
- Musical Improvisation and creativity, B.Art – EPFL
- Digital Musicology, M.Sc. – EPFL
- Algorithmics and programming (Python), B.Sc. – University of Lorraine
- Internet and IT, B.Sc. – University of Lorraine
- Data Structure (C++), B.Sc. – University of Lorraine
- 3D Modelling (C#), B.Sc. – University of Lorraine
⭔ Supervision:
- Ph.D thesis (University of Lille): Alexandre D’Hooge – Analysis and prediction of playing techniques for guitar in tablatures (co-supervised w/ Louis Bigo)
- Master thesis (EPFL): Arthur Parmentier – Soundpainting gesture recognition with Max/MSP (co-supervised w/ Sarah Kenderdine, Ronan Boulic and Constance Frei)
- M.Sc. internship (Inria): Rémi Decelle – Reinforcement learning for automatic improvisation (co-supervised w/ Emmanuel Vincent and Nathan Libermann)
- B.Sc. internship (Inria): Lucas Antonelli – Design and conception of an open-source online listening test platform (co-supervised w/ Emmanuel Vincent)
⭔ Grant and awards:
- 2021: AI Song Context 2021, 3rd place (/38). The Last Moment Before You Fly – Gulluni x Algomus
- 2020: Spark Grant from the Swiss National Science Foundation (95’775 CHF)
Wanderful music: a systemic investigation into music-induced mind wandering (w/ Steffen Herff (PI) and Gabriele Cecchetti) - 2016: Best poster award, Young Researchers in Acoustics, Signal and Hearing Days, Paris, France.
⭔ Scientific service:
- Lead guest editor for the Computer Music Journal Special Issue on Musical Interactivity in Human-AI and AI-AI Partnerships (w/ Bob L. T. Sturm, Artemi-Maria Gioti and Georgina Born)
- Reviewer for Computer Music Journal and TISMIR
- Reviewer for ISMIR, Sound and Music Computing, and AIMC
