Jean-yves Franceschi
Staff Researcher at Criteo
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolJean-yves Franceschi is a Staff Researcher at Criteo in Paris with 11 years of experience advancing machine learning and generative AI from academic research to industrial deployment. He specializes in deep generative models, dynamical systems, and applications to 3D modeling and video generation, and has progressed through roles at Criteo from Researcher to Staff since 2022. He leads teams building production-ready generative systems, teaches AI to both engineers and non-technical audiences, and shapes GPU infrastructure strategy to scale research into products. Beyond engineering, he contributes as an expert advisor to public policy on AI regulation, reflecting a track record that spans top French labs and international research internships. An understated strength is his ability to translate foundational research into practical pipelines that bridge creative domains and large-scale advertising systems.
11 years of coding experience
3 years of employment as a software developer
Sorbonne Université
French, English
Github Skills (22)
multivariate-timeseries10
representation-learning10
stochastic10
time-series10
generative-model10
pytorch9
machine-learning9
deep-learning9
prediction9
python8
gradient-descent7
gpu7
kernel6
neural-network6
numpy5
Programming languages (4)
Github contributions (5)
edouardelasalles/srvp
May 2020 - Mar 2022
Official implementation of the paper Stochastic Latent Residual Video Prediction
Contributions:22 commits, 1 PR, 23 pushes in 1 year 10 months
pytorchvideo-predictionpredictiondeep-learningicml-2020
JeremieDona/spatiotemporal_variable_separation
Aug 2020 - Mar 2021
Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*
Contributions:6 commits, 1 PR, 6 pushes in 7 months
pdepytorchdeep-learningpredictive-modelsdisentanglement
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