Emmanuel Ren
Data Science Division Manager
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolEmmanuel Ren is a data science leader with eight years of experience bridging advanced computational research and engineering-driven AI solutions, currently managing the Data Science division at Orano Projects. Trained at ENS Ulm and as a CEA‑cofunded PhD candidate, he applied molecular simulation and statistical learning to nanoporous materials for noble gas separation before transitioning to industrial ML and optimization. He leads a team delivering tabular simulation models, image analytics, OCR, LLM-based chatbots and RAG systems, and operational research to improve engineering efficiency across Orano. Comfortable moving from Monte Carlo and molecular dynamics to production ML pipelines, he combines deep physical-chemistry expertise with pragmatic deployment of modern AI tools. A less obvious strength is his repeated role in translating domain research into operational services for industrial clients, making him effective at turning academic rigor into measurable engineering gains.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Physical Chemistry, Master of Science - MS, Physical Chemistry at Ecole Normale supérieure (PSL)Classes préparatoires aux grandes écoles, PC, Classes préparatoires aux grandes écoles, PC at Lycée Henri IV
Github Skills (12)
autoliker7
procedure5
python5
instagram5
scraper5
hashtag5
raspberry-pi4
api3
nodejs3
data-science2
webdriver2
instagram-api2
Programming languages (3)
Github contributions (5)
eren125/material-screening
Mar 2021 - Jan 2023
A screening procedure coded in python based on the Raspa2 binary file
Contributions:101 commits, 2 PRs, 63 pushes in 1 year 10 months
raspberry-pipythonscreeningprocedurepython3
eren125/ctutrast
Sep 2022 - Feb 2023
Contributions:99 pushes, 1 branch in 4 months
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