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

I conduct research in human-computer interaction (HCI), examining how machine learning (or artificial intelligence) algorithms can be used in various fields such as performing arts, health or pedagogy. I am particularly interested in learning technologies when they are integrated with communities of practice.

Short Bio

I am currently a CNRS researcher (CRCN) at ISIR, Sorbonne Université in Paris, in the HCI Sorbonne group. I received a PhD in Computer Music from University Pierre et Marie Curie and IRCAM in 2012. I have worked at Goldsmiths College, University of London and McGill University, as a Marie Skłodowska-Curie Research Fellow. I joined CNRS (CR1) in 2018 at LRI (now LISN), Université Paris-Saclay. Since 2015, I have been a senior researcher then consultant at Mogees ltd. I am involved in an European endeavour studying the use of AI in the Creative and Cultural sectors. Finally, I am collaborating on art projects, being an associate member of the Fronte Vaccuo collective.


  • 12-2022 Oleksandra Vereschak successfully defended her PhD "Understanding Human-AI Trust in the Context of Decision Making through the Lenses of Academia and Industry: Definitions, Factors, and Evaluation"
  • 06-2022 Téo Sanchez successfully defended his PhD "Interactive Machine Teaching with and for Novices"
  • 04-2022 Miguel Renom successfully defended his PhD "Theoretical bases of human tool use in digital environments"
  • 03-2022 Best Paper Honourable Mention Award at ACM CHI'22 for a theoretical paper in HCI, "Exploring Technical Reasoning in Digital Environments"
  • 03-2022 Best Paper Award at IUI'22 for "Deep learning uncertainty in machine teaching" pdf
  • 02-2022 Premiere of the piece Humane Methods [ΣXHALE] at CTM in Berlin. "Piece exposing algorithmic violence by questioning the responsibilities of both artificial intelligence and one's own"
  • 01-2022 Article with Téo Sanchez, Pierre Thiel and Wendy Mackay on "Deep learning uncertainty in machine teaching" accepted to ACM IUI'22
  • 01-2022 Article with Miguel Renom and Michel Beaudouin-Lafon on "Exploring Technical Reasoning in Digital Tool Use" accepted to ACM CHI'22
  • 10-2021 Our CSCW'21 paper on Human-AI Trust in AI-assisted decision makin received a Best Paper Honourable Mention
  • 03-2021 The current issue of Nature Human Behavior chose to feature our work on musical timbre perception on the cover!
  • 03-2021 Speaking at the French days for HCI and AI
  • 02-2021 Vaynee Sungeelee is starting a PhD on "Interactive Reinforcement Learning", within my ANR-funded project ARCOL
  • 02-2021 Tow papers accepted at CSCW'21 (social computing conference) on Machine Teaching by Novices (led by Téo Sanchez) and Dance Piece Restaging (led by JP Rivière)
  • 01-2021 Hugo Scurto is starting a post-doc project on breathing-based interaction with me, in collaboration with Thomas Similowski (Hopital Salpetrière) and Samuel Bianchini (ENSAD)
  • 10-2020 Moving to a new lab: ISIR at Sorbonne Université! Working in the excellent HCI Sorbonne group


  • 2020-2024 ARCOL Interactive Human-Machine Co-learning. ANR-funded project (French National Agency for Research), Individual Fellowship for Young Researcher, Coordinator -
  • 2018-2022 ELEMENT Enhancing Learnability in Embodied Interaction. ANR-funded project (French National Agency for Research), PI for LRI (coordinator: IRCAM), funded within the French AI Program -
  • 2021 Spiropathies: Intelligent System for Breathing Care, post-doc position funded by the Health & Technology Institute at Sorbonne University.
  • 2018 INTACT Human-AI Interaction in Artistic Practices. CNRS funding for exploratory research, PEPS S2IH.
  • 2016-2018 MIM Enhancing Motion Interaction. Marie Sklodowska Individual Fellowship.


Post-doc (current and former)

  • Hugo Scurto - artist and researcher in sound, ML, interaction, working on Spiropathies
  • Antoine Loriette - researcher in Human-Computer Interaction, Movement-based Interaction, working on ARCOL

PhD Student (current)

  • Vaynee Sungeelee - "Interactive Reinforcement Co-Learning" - Started Feburary 2021
  • Oleksandra Vereschak - "Trust in Human-AI Interaction" - Started October 2019
  • Téo Sanchez - "Co-Learning in Interactive Systems" - Started September 2018
  • Miguel Renom Roldan - "Theoretical bases of human tool use in digital environments" - Started October 2018

PhD Student (former)

  • Jean-Philippe Rivière - thesis: "Facilitating Dance Movement Learning through Interactive Feedbacks" - defended in 12/2020