Jules Françoise
CNRS Researcher at LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolJules Françoise is a CNRS researcher specializing in movement-based human-computer interaction, combining a PhD from Université Pierre et Marie Curie with a decade of interdisciplinary research at LIMSI, LISN and IRCAM. Her work blends machine learning, HCI and performance practice to model and design expressive movement interactions, with a user-centered focus on ML as a creative design tool. She investigates continuous feedback systems that support movement skill acquisition in health and artistic contexts, translating fundamental insights about movement expressivity into deployable interaction designs. Having held postdoctoral positions in Canada and Europe and contributed to projects like SkAT-VG and MovingStories, she brings both experimental rigour and practical experience in real-time motion-sound systems. Based in Paris, she uniquely bridges acoustics, signal processing and embodied interaction to craft technologies that are sensitive to the experiential qualities of movement.
10 years of coding experience
4 years of employment as a software developer
Master, ATIAM - Acoustique, traitement du signal et informatique appliqués à la musique, Master, ATIAM - Acoustique, traitement du signal et informatique appliqués à la musique at Ircam - UPMCLicence, Physique, Licence, Physique at Université de Rennes IClasse préparatoire, Physique - Chimie, Classe préparatoire, Physique - Chimie at Lycée chateaubriandDoctor of Philosophy (PhD), Informatique, Mention Très Honorable, Doctor of Philosophy (PhD), Informatique, Mention Très Honorable at Université Pierre et Marie Curie (Paris VI)
English, French
Stackoverflow
1,202reputation
301kreached
2answers
0questions
seaborn
top-5%
legend
top-5%
matplotlib
top-5%
python
top-5%
Github Skills (53)
deploying10
feature-matching10
matplotlib9
javascript9
intrinsics9
webgl9
seaborn9
python9
machine-learning9
probabilistic9
gesture-recognition9
hidden-markov-model9
myo9
legend9
homography9
Programming languages (7)
Github contributions (5)
marcellejs/marcelle
Jul 2020 - Dec 2022
Marcelle is a client-side javascript framework for building interactive machine learning applications
Contributions:565 commits, 15 PRs, 59 pushes in 2 years 5 months
client-sidejavascript-frameworkjavascriptmachine-learninginteractive-machine-learning
JulesFrancoise/xmmjs
Jan 2018 - Nov 2019
A Javascript port of the XMM Library
Contributions:26 commits, 11 pushes, 1 tag in 1 year 10 months
gaussian-mixture-modelsjavascriptxmmgesture-recognitionhidden-markov-model
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