Rémi Thiébaut is a data scientist with 23 years of technical experience and a Master of Engineering in Bioinformatics and Modelling, currently applying his skills at ORIS Materials Intelligence from Lyon. He has built production-ready ML solutions across domains—from predicting mining activity from satellite imagery over 20 million km² to streamlining national COVID-19 reporting—and led human labeling teams that created a 100k+ image dataset. Comfortable turning research into robust code, he has implemented algorithms in Python, Julia and Haskell, including a PBPK pharmacokinetic model and an exoplanet spectrum extraction pipeline that reached publication. Passionate about impact-driven projects, he seeks opportunities that combine software engineering, data science and environmental or societal benefit.
23 years of coding experience
2 years of employment as a software developer
Artificial Neural Networks and Computer Science, GPA : 3.83/4.0, Artificial Neural Networks and Computer Science, GPA : 3.83/4.0 at Polytechnique Montréal
Elite Undergraduate Program, Mathematics and applied sciences, Elite Undergraduate Program, Mathematics and applied sciences at Université Claude Bernard Lyon 1
Master of Engineering - MEng, Bioinformatics and Modelling, Master of Engineering - MEng, Bioinformatics and Modelling at INSA Lyon - Institut National des Sciences Appliquées de Lyon
High School Diploma, Sciences, Highest honour, High School Diploma, Sciences, Highest honour at Cité Scolaire Internationale de Lyon
Contributions:147 commits, 80 pushes, 1 branch in 6 years 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.