Jean-luc Meunier
R&D Engineer, Researcher, Project Lead at NAVER LABS Europe
Grenoble, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolJean-luc Meunier is an inventive R&D engineer and project leader with over 9 years at NAVER LABS Europe and a long research pedigree at Xerox Research, blending deep ML and Python expertise with practical deployment experience across the US and India. He has a strong publication and patent record (Google Scholar ~3k citations, h-index 33) and a history of turning research into production systems and training local engineering teams. Comfortable across research and industrial contexts, he contributes to open-source tooling—improving Python structured learning examples in pystruct—and focuses on robust, production-ready solutions. Trained as an applied mathematics and computer science engineer at Grenoble INP - Ensimag, he combines rigorous formal grounding with hands-on experimentation and occasional dead-ends that fuel creative breakthroughs.
9 years of coding experience
28 years of employment as a software developer
Diplôme d'ingénieur, Mathématique appliquée et Informatique, Diplôme d'ingénieur, Mathématique appliquée et Informatique at Grenoble INP - Ensimag
Github Skills (13)
scikit-learn10
scikit10
machine-learning10
python10
data-structure9
algorithm9
data-structures9
algorithms9
rep8
testing8
data-analysis8
repr8
data-science7
Programming languages (3)
Github contributions (5)
pystruct/pystruct
Aug 2017 - Oct 2018
Simple structured learning framework for python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 70 commits, 10 PRs in 1 year 1 month
Contributions summary:Jean-luc primarily focused on debugging and improving the snake example within the pystruct framework. They fixed a TypeError in the test for latent node crf learning and addressed multiple API changes related to sklearn. Additional contributions include fixing bugs, removing unused code, and implementing PEP8 compliance. The user also made several changes to the snake example, including edge feature fixes, and updates to the model.
python
jlmeunier/pystruct
Jan 2018 - Feb 2019
An extension to PyStruct (Simple structured learning framework for python)
Contributions:2 releases, 6 commits, 2 PRs in 1 year 1 month
python
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