Mathieu Bernard
Ingénieur Recherche at CNRS - Centre national de la recherche scientifique
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolMathieu Bernard is a research engineer with 11 years of experience in data science, machine learning and scientific computing, holding a PhD in Artificial Intelligence from Université Pierre et Marie Curie. He has held research engineering roles at Inria and CNRS labs including EconomiX and LPNHE, combining academic publishing with hands-on software development. An active open-source contributor, he improved core functionality and test coverage for the multilingual phonemizer project, addressing edge cases and backend refinements that benefit speech and NLP pipelines. Based in Paris, he bridges rigorous research methodologies with production-ready code, often focusing on robustness and reproducibility in ML workflows. Colleagues note his ability to translate complex algorithms into reliable tools used beyond the lab.
11 years of coding experience
Doctorat, Artificial Intelligence, Doctorat, Artificial Intelligence at Université Pierre et Marie CurieMaster 2 (M2), Artificial Intelligence, Master 2 (M2), Artificial Intelligence at Université de Rennes 1Diplôme d'ingénieur, Computer Science, Diplôme d'ingénieur, Computer Science at ESIR - Ecole Supérieure d'ingénieurs de Rennes 1
French, English
Github Skills (4)
unit-testing10
text-processing10
python10
command-line-interface8
Programming languages (9)
Github contributions (5)
bootphon/phonemizer
Apr 2016 - Dec 2021
Simple text to phones converter for multiple languages
Role in this project:
Back-end Developer
Back-end DeveloperContributions:25 releases, 1 review, 130 commits in 5 years 8 months
Contributions summary:Mathieu primarily focused on enhancing the phonemizer functionality. Their contributions included improvements to the core text-to-phoneme conversion process by handling more edge cases, such as punctuation and special characters, and adding a `--strip` option for cleaner output. They also implemented new features such as the ability to prepend the input text to the phonemized output, and refined the espeak and festival backends. Furthermore, they added comprehensive unit tests for improved code quality.
pythonphonesmultiple-languageslanguagesconverter
bootphon/shennong
Aug 2018 - Mar 2022
A Python toolbox for speech features extraction
Contributions:3 releases, 289 commits, 3 PRs in 3 years 7 months
pythonspeech
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