I am a research scientist at Inria, Soda team (hiring), interested in factorization, generative models and educational applications of machine learning. I enjoy teaching deep learning at ENS and competitive programming at X & ENS Paris-Saclay.
Feel free to contact me by mail (PGP key) or Twitter.
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 @ AIED 2020 [video].
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
✅ Worked for: European
Commission, EDM
2021
✅ See my projects and CV
See all publications / My Scholar page