Corentin Nelias
PHD Student at Max Planck Institute
Bretoncelles, Normandy, France
Summary
👤
Senior🎓
Top SchoolCorentin Nelias is a PhD student at the Max Planck Institute with eight years of experience blending materials science, physics, and scientific programming. Trained at INSA Lyon with a master's in materials science, he pairs rigorous analytical foundations with a practical interest in data analysis and self-taught machine learning. His background includes internships at CEA and Continental, giving him exposure to both research environments and industry practices. Corentin is comfortable translating complex physical problems into computational workflows and experimental designs. Based in Normandy, he brings a curious, hands-on approach and eagerness to apply quantitative and ML skills to real-world materials challenges.
8 years of coding experience
Master's degree, Material science, Master's degree, Material science at INSA Lyon - Institut National des Sciences Appliquées de Lyonbaccalauréat, baccalauréat at Lycée rémi-belleau
English, German, French
Github Skills (185)
transformers10
language-model10
python10
categorical10
deep-learning10
transformer10
nlp10
jax10
categorical-data10
tensorflow10
natural-language-processing10
motif10
pytorch10
machine-learning10
bert10
Programming languages (9)
Github contributions (5)
CNelias/CategoricalTimeSeries.jl
Oct 2020 - Dec 2022
Toolbox for categorical time-series analysis.
Contributions:5 releases, 1 review, 221 commits in 2 years 2 months
time-series-analysistoolboxcategorical-datajuliatime-series
CNelias/ChangePointDetection.jl
Jun 2019 - Dec 2020
Contributions:19 commits, 20 pushes, 1 branch in 1 year 6 months
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