I am a CNRS Researcher fellow in computer music interested in understanding, analyzing and modelling the creative processes used by musicians in their compositions, improvisations and stage performances, as well as creating new computer tools for musician-machine interactions, using AI, machine learning and ethnography.
I work at UMR 9189 – CRIStAL in the Algomus Team in Lille, France.
And I am also an affiliated researcher in Bob Sturm’s ERC project MUSAIC.
Before that, I did my PhD at Inria (Multispeech) and Ircam (Musical representation) and then worked as a postdoctoral researcher at Ircam, EPFL (DCML), University of Lille (Algomus), and KTH (MUSAIC).
⭔ Research interests include (but are not limited to):
Music generation, Human-machine interaction, Co-creativity, Empirical musicology, Machine learning, AI ethics, Signal processing, Music theory, Improvisation.
⭔ I am also interested in:
Text algorithmic, Probabilistic graphical models, Automata theory, Semigroup theory.
⭔ Special Issue of Computer Music Journal on Musical Interactivity in Human-AI and AI-AI Partnerships:
– Ken Déguernel (lead), Research fellow in Computer Science at CNRS (France)
– Bob. L. T. Sturm, Associate Professor of Computer Science, KTH (Sweden)
– Artemi-Maria Gioti, Research Fellow in Music and AI, UCL (UK) & Lecturer in New Media and Digital Technologies for Music, University of Music Dresden (Germany)
– Georgina Born, Professor of Anthropology and Music, Department of Anthropology & Institute of Advanced Studies, University College, London (UK)