CNRS researcher (tenured, 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 at the intersection of Human-Computer Interaction (HCI) and Machine Learning (ML). My recent work has focused on interactive and collaborative machine learning with the general public, artists or domain experts, ML-assisted human learning; Human-IA trust, and the study of practices and politics of AI in the creative and cultural sectors.

            
Office H11 - Pyramide – Tour 55-56
Campus Pierre et Marie Curie
4, Place Jussieu, 75005 Paris – France

News

01-2024 I am one of the Microsoft Research AI & Society Fellows for the "towards creative-centred AI" research challence (https://www.microsoft.com/en-us/research/academic-program/ai-society-fellows/fellows/)
11-2023 The volume on "AI in Museums" for which I contributed is in print (linkedin post)
10-2023 Participating to the AI & Design symposium at Delft university https://www.tudelft.nl/io/actueel/congressen-en-symposia/designai-symposium-2023
06-2023 Two papers presented at NIME (New Interfaces for Musical Expression conference) with Théo Jourdan => publications
05-2023 Defence of my Habilitation to Direct Research
"Machine Learning in Interaction: Tool, Material, Culture"

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 and a Habilitation to Direct Reseearch (HDR) from University Paris-Saclay in 2023. 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. I was an AI consultant for Mogees ltd. I am involved in an European endeavour studying the use of AI in the Creative and Cultural sectors. Finally, I take part in artistic projects as an associate member of the Fronte Vaccuo collective.
CV (Sep 2023)

Projects

  • 2024-2027 Doctoral Funding Collaborative Human-centred Machine Learning for Archival Practice. PEPR eNSEMBLE.
  • 2020-2024 ARCOL Interactive Human-Machine Co-learning. ANR-funded project (French National Agency for Research), Individual Fellowship for Young Researcher, Coordinator - https://arcol.isir.upmc.fr/
  • 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 - https://element-project.ircam.fr/
  • 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. https://mim.ircam.fr/

Supervision

Post-doc (current and former)

  • Théo Jourdan - researcher in ML, privacy, music technology
  • 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 and former)

  • Lenny Martinez - "Collaborative Human-centered Machine Learning for Archival Practice: Enhancing Accessibility, Transmission, and Curation" - Starting February 2024
  • Behnoosh Mohammadzadeh - "Collaborative Machine Teaching" - Started October 2022
  • Vaynee Sungeelee - "Interactive Reinforcement Co-Learning" - Started Feburary 2021
  • Oleksandra Vereschak - "Trust in Human-AI Interaction" - (started October 2019 - defended Decembre 2022)
  • Téo Sanchez - "Co-Learning in Interactive Systems" - (started September 2018 - defended June 2022)
  • Miguel Renom Roldan - "Theoretical bases of human tool use in digital environments" - (started October 2018 - defended April 2022)
  • Jean-Philippe Rivière - thesis: "Facilitating Dance Movement Learning through Interactive Feedbacks" - (started October 2017 - defended Decembre 2020)