Bio
I am a CNRS researcher at ISIR, Sorbonne Université, since October 2020. I work in the fields of machine learning, human-computer interaction, mixing quantitative and qualitative approaches, with a growing interest in the link between technology and society.
Previoulsy I was CNRS researcher at LRI (now LISN), Université Paris-Saclay, from 2018 to 2020. I have worked as associate researcher in the Computing Department at Godsmiths College, University of London, and in the Psychology Department at McGill University in Montreal (as Marie-Sklodowska Curie Fellow). I have been a research collabortor for the London-based company HyperSurfaces. And I am actively collaborating with the artist collective Fronte Vaccuo. I hold a PhD from Université Pierre et Marie Curie (now Sorbonne Université) and IRCAM (Music and Technology centre, part of the Centre Pompidou in Paris).
Contact
Office H11, Pyramide – T55, 4 Place Jussieu 65, 75005 Paris
Email: firstname . lastname @ sorbonne-universite.fr
Personal website: https://baptistecaramiaux.com
Mastodon profile: @bcaramiaux@hci.social
Research interests
- Interactive Machine Learning
- Human-Computer Interaction
- Technology and Society
- Music interaction and perception
- Body-based forms of interaction
Fundings
- IUIS project on intelligent systems for breathing care (2021)
- ARCOL project (coordinator), an ANR-funded project under the young researcher programme (2020-2023)
- Phares Art & Science Project 2019, La Diagonale Université Paris-Saclay. Artistic project Humane Methods (2019)
- ELEMENT project, an ANR-funded project coordinated by IRCAM, with LISN at Université Paris-Saclay (2018-2021)
- CNRS-funded project INTACT (PEPS) (2018)
- MIM project, a EU-funded project under the Marie-Sklodowska Curie programme (global fellowship) (2016-2018)
Supervision
Post-docs (currrent and former)
- Théo Jourdan (2022-2023, ARCOL funding)
- Hugo Scurto (2021, IUIS funding)
- Antoine Loriette (2020, ARCOL funding)
PhD Students (current and former)
- Behnoosh Mohammadzadeh – Collaborative Machine Teaching, with Jules Françoise and Michèle Gouiffès (LISN) (2022-now)
- Vaynee Sungeelee – Interactive Reinforcement Co-learning (2021-now)
- Oleksandra Vereschak – Trust in Human-AI Interaction, with Gilles Bailly (CNRS) (2019-2022)
- Téo Sanchez – Machine Teaching in Creative Practices, with Wendy Mackay (Inria) (defended 2022)
- Miguel Renom – Reasoning in Digital Tool Use, with Michel Beaudouin-Lafon (Université Paris-Saclay) (defended 2022)
- Jean-Philippe Rivière – Capturing traces in dance learning support tools, with Sarah Fdili Alaoui and Wendy Mackay (Université Paris-Saclay) (defended 2020)