CNRS Researcher at LRI, Univ. Paris-Sud, University Paris-Saclay, member of the INRIA-affiliated Team Ex-Situ

Office 206, Laboratoire de Recherche en Informatique (LRI)
Bât 650, Rue Noetzlin, 91190 Gif-sur-Yvette, France

Contact: firstname . lastname @ lri.fr

I am conducting interdisciplinary research at the intersection of Human-Machine Interaction and Machine Learning, also called Human-Centred Machine Learning. I am particularly interested in body-based inputs to artificial learning systems. Examples of research questions are: how human-users adapt their behavior when interacting with learning systems? How learning systems can adapt to human-users to better achieve certain tasks? How Human-AI interaction can facilitate human learning (sensorimotor learning, skill acquisition, rehabilitation), exploration and creativity? Part of my research work is also engaged in artistic productions.
I am currently a CNRS Research Scientist (CR1) at LRI, University Paris-Saclay and a AI consultant at Mogees ltd. I received a PhD in Computer Science from University Pierre et Marie Curie and IRCAM (Centre Pompidou) in 2012. From 2012 to 2015, I worked at Goldsmiths College, University of London, as a research associate. In 2015, I worked for the London-based start-up Mogees Ltd. as Senior Research Scientist before starting a Marie Skłodowska-Curie Research Fellowship between McGill University and IRCAM from 2016 - 2017.

News

  • 07-2018 | ANR project (French National Agency) funded "Enabling Learnability in Embodied Movement Interaction"
  • 04-2018 | Leading the writing of a white paper on "AI in Creative Industries" for New European Media
  • 03-2018 | Joining the Editorial Board of Plos ONE as academic editor
  • 03-2018 | PLoS ONE paper online https://doi.org/10.1371/journal.pone.0193580
  • 02-2018 | 1yr CNRS funding for exploratory research (PEPS S2IH 2018), titled "Human-AI Interaction in Creativity"
  • 02-2018 | Collaborative paper on "First-Person Perspectives in Design" pubilshed in Informatics
  • 06-2017 | Corpus Nil Performance presented at MOCO'17 with M. Donnarumma
  • 05-2017 | Corpus Nil received an award at Ars Electronica Award link

PhD students

  • Jean-Philippe Rivière, "Facilitating Dance Movement Learning through Interactive Feedbacks", from Oct 2017
  • Téo Sanchez, "Co-Learning in Interactive Systems", from Sep 2018
  • Elizabeth Walton, "Preventing Biases in Movement-based Interaction", from Nov 2018

Projects

  • ANR-funded project ELEMENT (French National Agency for Research), 36 months, starts 01/11/2018
  • CNRS-funded project INTACT (PEPS S2IH 2018), 12 months, 02/2018-now
  • EU project MIM (H2020-MSCA-IF-2014, GA no. 659232), Individual Fellowship, 36 months, 01/2016-now