Nathan Godey
Postdoctoral Associate
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolNathan Godey is a Postdoctoral Associate at Cornell Tech with eight years of experience bridging computational neuroscience and language technologies following a PhD and engineering training in mathematics and computer science. Based in Paris, he brings a strong research-to-code mindset, contributing substantial architectural improvements to the open-source ReservoirPy library—optimizing parallelization, persistence, and core ESN/regression components for practical ML deployment. His background in rigorous French preparatory and engineering programs underpins a talent for turning theoretical models into usable software tools. Nathan’s work sits at the intersection of reservoir computing, language, and systems engineering, combining academic depth with hands-on backend and ML engineering.
8 years of coding experience
Preparatory courses, MPSI / MP* (mathematics & physics), Preparatory courses, MPSI / MP* (mathematics & physics) at Lycée Fénelon (Paris VI)Baccalauréat (Science), High honors, Baccalauréat (Science), High honors at Lycée Van Gogh, ErmontMaster of Engineering - MEng, Mathematics and Computer Science, Master of Engineering - MEng, Mathematics and Computer Science at École des Ponts ParisTech
English, Spanish
Github Skills (11)
algorithm10
algorithms10
machine-learning10
parallelization10
python10
scientific-computing9
data-analysis9
linear-algebra9
parallel-computing9
cluster-computing9
time-series9
Programming languages (3)
Github contributions (5)
reservoirpy/reservoirpy
Feb 2020 - May 2022
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:23 releases, 8 reviews, 461 commits in 2 years 3 months
Contributions summary:Nathan's commits focused on significant architectural changes and cleaning within the `reservoirpy/reservoirpy` repository, which is centered around Reservoir Computing. They were involved in updating and modifying core components, specifically the `ESN.py` and `regression_models.py` files, which contain core code of reservoir architecture and regression algorithms for model learning. The user appears to have implemented changes related to parallelization and data loading/saving capabilities, indicating improvements to the library's usability and efficiency, essential aspects to machine learning model deployment.
pythonesntimeseries-forecastingtimeseries-predictionreservoir-computing
nTrouvain/Timeseries-Sequence-Processing-2022
Nov 2021 - Oct 2022
Contributions:7 commits, 6 pushes, 1 branch in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.