Clement Moutard
Data Project Team Leader
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolClement Moutard is a Data Project Team Leader based in Paris with 11 years of experience bridging neuroscience research and applied data/AI in industry and consulting. Trained at École Polytechnique with advanced neuroscience and ML study, he moved from MEG/EEG research into leading data teams, product design, and Data Adoption programs for clients like L'Oréal, TotalEnergies and Air Liquide. He combines hands-on Python and MLOps practice (PySpark, Databricks, AWS, MLFlow) with leadership roles—chapter leader, scrum master and people manager—helping organizations operationalize data science. An active contributor to the MNE-Python project, he improved test coverage and robustness for event handling in a widely used neuroimaging library, reflecting his attention to reproducibility and quality. Known for translating research-grade methods (time-frequency analysis, deep learning) into production-ready solutions, he also runs upskilling and community initiatives to spread best practices. Practical, scientifically rigorous and product-minded, he excels at turning complex analytics into maintainable, business-impacting systems.
11 years of coding experience
4 years of employment as a software developer
Summer School – Vision Understanding and Machine Intelligence, Data Science / Computer Vision, Summer School – Vision Understanding and Machine Intelligence, Data Science / Computer Vision at Institute for Systems and Computer Engineering, Technology and ScienceHBP 2nd Education School – Future Computing, Computer Science, HBP 2nd Education School – Future Computing, Computer Science at Ruprecht-Karls-Universität HeidelbergPhysics and Chemistry (P.C.) with Maths (undergraduate), Physics and Chemistry (P.C.) with Maths (undergraduate) at Lycée Sainte-GenevièveSummer School – Non-Linear Methods for Complex Systems Analysis, Data Science, Summer School – Non-Linear Methods for Complex Systems Analysis, Data Science at Universität zu KölnEngineering Diploma of Ecole Polytechnique, Applied Maths and Biology, Engineering Diploma of Ecole Polytechnique, Applied Maths and Biology at Ecole polytechniqueTechnical University of DenmarkDual Masters in Brain and Mind Sciences (MSc), Neurosciences and Cognitive Sciences, with Merit, Dual Masters in Brain and Mind Sciences (MSc), Neurosciences and Cognitive Sciences, with Merit at University College London, U. of LondonDual Masters in Brain and Mind Sciences (MSc), Neurosciences and Cognitive Sciences, Dual Masters in Brain and Mind Sciences (MSc), Neurosciences and Cognitive Sciences at Ecole Normale Supérieure UlmSummer School - Machine Learning Crash Course, Data Science, Summer School - Machine Learning Crash Course, Data Science at University of Genoa
Github Skills (11)
python10
numpy10
testing10
el4
neuroscience4
ec4
ceph4
n4
visualizations3
visualization3
machine-learning3
Programming languages (2)
Github contributions (5)
mne-tools/mne-python
Mar 2015 - May 2016
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:35 commits, 16 PRs, 87 comments in 1 year 2 months
Contributions summary:Clement primarily contributed to the project by adding and enhancing test cases for the `pick_events` function within the MNE library. They developed tests to ensure the functionality of the `pick_events` function, specifically focusing on event selection and exclusion criteria. These additions increased the test coverage for event handling, improving the reliability of the library's event processing capabilities. Further contributions focused on enhancing existing functions by enabling optional arguments and fixing issues.
visualizationneuroimagingneurosciencepythonstatistics
cmoutard/mne-python
Feb 2015 - May 2016
Contributions:2 PRs, 39 pushes, 17 branches in 1 year 2 months
pythonelectroencephalographymneeegmagnetoencephalography
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