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⭔ CV

⭔ Positions:

2023+Research fellow at CNRS (Section 06), France
UMR 9189 – CRIStAL
2022Invited researcher at KTH Royal Institute of Technology, Stockholm, Sweden
Division of Speech, Music and Hearing
2021-2022Postdoctoral researcher at University of Lille, France
Algomus team
2019-2020Postdoctoral researcher at EPFL, Lausanne, Switzerland
Digital and Cognitive Musicology Lab
2018Postdoctoral researcher at IRCAM, Paris, France
Musical representation team
2015-2018Ph.D. student at Inria, Nancy & IRCAM, Paris, France
Multispeech team

⭔ PH.D. Thesis:

Learning of Musical Structures in the Context of Improvisation
(in French)

⭔ Emmanuel Vincent — Senior Researcher, Inria Nancy, France
⭔ Gérard Assayag — Senior Researcher, IRCAM, France
⭔ Elaine Chew — Professor, Queen Mary University of London, UK
⭔ Maxime Crochemore — Professor, King’s College London, UK
⭔ 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: E. Vincent & G. Assayag)
  • M.Sc. in Theoretical Computer Science — University of Rouen, France
    Thesis: Theme and variations analysis with dynamic programming and timed-automata (Supervisor: M. Giraud)
  • M.Eng. in Applied Mathematics — INSA Rouen, France
    Thesis: Automatic generation of 4-voice Renaissance style counterpoint on a Cantus Firmus (Supervisor: N. 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
  • Algorithmic 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/ L. Bigo)
  • Master thesis (ENSAM): M. Plichon — 3D visualisation for Human-AI co-improvisation (co-supervised w/ F. Berthaut)
  • End of study project (INSA): L. Taucoory — Generative AI for music production (co-supervised w/ N. Chaignaud)
  • Master thesis (EPFL): A. Parmentier — Soundpainting gesture recognition with Max/MSP (co-supervised w/ S. Kenderdine, R. Boulic and C. Frei)
  • M.Sc. internship (Inria): R. Decelle — Reinforcement learning for automatic improvisation (co-supervised w/ E. Vincent and N. Libermann)
  • B.Sc. internship (Inria): L. Antonelli — Design and conception of an open-source online listening test platform (co-supervised w/ E. 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, TISMIR, and Journal of New Music Research
  • Reviewer for ISMIR, Sound and Music Computing, and AIMC