Paul Novello
ML Research Engineer at IRT AESE - Saint Exupéry
Toulouse, Occitania, France
Summary
👤
Senior🎓
Top SchoolPaul Novello is an ML Research Engineer with eight years of experience bridging scientific machine learning and trustworthy AI, currently leading research and coordination efforts at IRT AESE/ANITI in Toulouse. He specializes in XAI, robustness, and uncertainty quantification, spearheading an open-source post-hoc OOD detection library (oodeel) and leading industry-collaborative projects with Airbus, Renault and MILA. Paul holds a PhD in Applied Mathematics from École Polytechnique where he embedded neural surrogates into large HPC simulations for CFD, and he brings hands-on engineering experience deploying ML in Fortran/C++ production codes. Known for translating rigorous research into usable tools, he also mentors PhD candidates and regularly reviews for top ML conferences.
8 years of coding experience
2 years of employment as a software developer
PhD, MATHEMATICS AND STATISTICS, PhD, MATHEMATICS AND STATISTICS at École PolytechniqueMaster’s Degree, Mathematics and Statistics, Master’s Degree, Mathematics and Statistics at Télécom ParisMaster of Science - MSc, Mathematical Statistics and Probability, Master of Science - MSc, Mathematical Statistics and Probability at Imperial College London
Github Skills (7)
robustness10
xai9
pytorch9
toolbox8
tensorflow8
machine-learning6
deep-neural-networks5
Programming languages (1)
Github contributions (5)
deel-ai/oodeel
Oct 2022 - Mar 2023
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
Contributions:5 releases, 50 reviews, 178 commits in 5 months
deep-neural-networksout-of-distribution-detectionpost-hoc-analysispytorchrobustness
paulnovello/HSIC-Attribution-Method
May 2022 - Jan 2023
Contributions:13 commits, 8 pushes, 1 comment in 7 months
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