Bio

I am a CNRS researcher (tenured, with HDR) at the Institute of Intelligent Systems and Robotics (ISIR), Sorbonne Université in Paris. I am a member of the HCI Sorbonne group.

I conduct interdisciplinary research in Human-Centred AI. My recent work has focused on studying the strategies people use to train and test AI-based systems, explainable AI (XAI) methods empirically tested and aligned with human perception, and sociotechnical analysis of the impact of AI in the arts.

Alongside my research activities, I have served as a scientific expert for the European Parliament’s Committee on Culture and Education on AI in the creative and cultural sectors. I am a contributing member of the Fronte Vaccuo artist collective and a laureate of Microsoft Research’s AI and Society program. I hold a PhD in computer music from IRCAM (Centre Pompidou) and an HDR (Habilitation to Direct Research) from Université Paris-Saclay.

CV

Highlights
  • Scientific expert, European Parliament (AI in creative sectors)
  • Laureate, Microsoft Research AI & Society program
  • Publications in CHI, CSCW, ECCV, with distinctions
  • Patent / product shipped commercially (Mogees)

Professional experience

  • 2020 – now: CNRS Research Scientist, ISIR, Sorbonne Université, Paris
    • Leading experimental research on Human-AI Interaction: trust, adaptation, and personalisation in AI-based systems
    • Studying the impact of AI on the creative and cultural sectors, informing public policy recommendations
  • 2018 – 2020: Junior CNRS Research Scientist, LISN, Université Paris-Saclay, Orsay
    • Designing and evaluating AI and Machine Learning techniques for embodied interaction
  • 2016 – 2018: Marie Skłodowska-Curie Postdoctoral Researcher, McGill University, Montréal
    • Trained in cognitive neuroscience, specialising in human learning and perception
  • 2015: Senior Researcher, Mogees Ltd., London
    • Built gesture-based interaction systems for musical expression, from prototype to product
    • Designed interactive machine learning algorithms and visualisation tools
  • 2012 – 2015: Postdoctoral Researcher, Goldsmiths, University of London
    • Designed machine learning algorithms for new musical instrument design

Education

  • 2023: Habilitation to Direct Research, Université Paris-Saclay
  • 2012: PhD in Computer Science, IRCAM, Université Pierre et Marie-Curie, Paris
  • 2008: MSc in Computer Science, IRCAM, Université Pierre et Marie-Curie, Telecom ParisTech
  • 2007: MSc in Applied Mathematics, Grenoble Institute of Technology (INPG), Université Joseph-Fourier

Invited talks

  • 10/2026: Presentation at Biennale des Imaginaires Numériques
  • 12/2025: Introductory Keynote at the GenAI and Creative Practices Conference
  • 06/2025: Conference on AI and Consciousness
  • 06/2025: UCL (University College London) Interaction Centre Seminar
  • 11/2024: Conference at the Institut Français de Russie on AI in the Arts
  • 03/2023: EU Project MESOC keynote
  • 12/2022: Cultures of Artificial Intelligence, Karlsruhe
  • 05/2022: Collège de France