Benjamin Donnot
Data Scientist
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolBenjamin Donnot is a data scientist with 11 years of experience specializing in applying deep learning and reinforcement learning to real-world power grid operations. He completed an industry-embedded PhD at RTE/Paris-Saclay focused on machine learning methods to improve reliability and efficiency amid rising intermittent renewables, and continues to deploy research into production at France’s transmission system operator. His background spans forecasting, quantitative modeling and applied research across finance, aviation and utilities, with hands-on experience in Python, R and C++ and teaching data science at ENSEA. Notably, he leverages operator historical actions to build practical, human-informed ML solutions that bridge domain expertise and automated decision-making.
11 years of coding experience
3 years of employment as a software developer
Ph. D, Ph. D at Paris Saclay UniversityMaster's Degree, Applied Mathematics, Diplôme obtenu ave mention A, Master's Degree, Applied Mathematics, Diplôme obtenu ave mention A at Ensae ParisTech
French, English, German, Italian
Github Skills (65)
kpi10
python10
toolbox10
power-systems10
stable-baselines10
cpp10
backend10
robotics10
decision-making10
reinforcement-learning-environments10
reinforcement-learning10
machine-learning10
baseline10
testbed10
grid10
Programming languages (5)
Github contributions (5)
Grid2op/lightsim2grid
Mar 2020 - Jan 2023
LightSim2grid implements a c++ backend targeting the Grid2Op (https://github.com/rte-france/grid2op) platform.
Contributions:38 releases, 40 reviews, 439 commits in 2 years 11 months
backendcppload-flowpowerflowpython
BDonnot/Grid2Op
May 2020 - Jan 2023
Contributions:3 releases, 61 reviews, 9 commits in 2 years 8 months
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