I am a research scientist at Inria, Soda team and a lecturer at École polytechnique where I teach competitive programming. My research interests are recommender systems, generative models and educational applications of machine learning (Kandemir et al. 2024), notably using RL (Vassoyan, Vie, and Lemberger 2023).
Feel free to contact me by mail (PGP key) or X.
If we can generate assessment data from MOOCs, we can predict,
explain and optimize
human learning.
If we can do this with privacy guarantees, we can share this dataset
with more users. (Vie*, Rigaux*, and Minn
2022)
See our tutorial about
knowledge tracing and our optimizing human learning
workshop @ LAK 2024.
How to model uncertainty and side information in preference elicitation? See our demo Mangaki and keynote.
✅ I worked on the government project Pix. This is free software that certifies
the digital skills of all French citizens
✅ We founded the Girls Can Code!
schools for K-12 girls running since 2014
✅ See my projects and CV
See all publications / My Scholar page