Sebastien Destercke
Researcher at CNRS
Compiègne, Hauts-de-France
Summary
👤
Senior🎓
Top SchoolSebastien Destercke is a researcher with 14+ years of experience specializing in modeling and treating information under severe uncertainty, currently based at CNRS’s HEUDIASYC laboratory. His work blends imprecise probabilistic theories, information fusion, and uncertainty propagation to tackle problems in preference learning, risk and reliability analysis, and signal/image processing. He has applied these methods across domains from nuclear safety (implementing uncertainty tools in C++ for IRSN) to agronomy and packaging design, developing robust decision aids and data reliability evaluation tools. A seasoned educator, he also teaches professionals and students practical courses on uncertainty modeling and supervised learning. Notably, his background combines rigorous applied-mathematics training (PhD-level) with hands-on software implementations, making him equally fluent in theory and production-grade tool development.
14 years of coding experience
3 years of employment as a software developer
PhD, Applied mathematics - computer science, ERASMUS year, Information treatment - Financial mathematics, Engineer's degree, Computer science - Applied mathematics - Economy, PhD, Applied mathematics - computer science, ERASMUS year, Information treatment - Financial mathematics, Engineer's degree, Computer science - Applied mathematics - Economy at Université Paul Sabatier Toulouse III
Faculté Polytechnique de Mons
English, French, Spanish
Stackoverflow
101reputation
0reached
0answers
0questions
Github Skills (18)
probability9
prediction8
classification8
sklearn8
regression8
hypothesis-testing7
statistics7
python7
prediction-intervals7
machine-learning6
data-science5
scikit4
scikit-learn3
pip1
autodesk1
Programming languages (3)
Github contributions (5)
sdestercke/Belief-R-Package
Feb 2012 - Aug 2012
Contributions:7 commits in 5 months
sdestercke/classifip
Dec 2012 - Nov 2021
A python imprecise probability classififer library
Contributions:75 commits, 3 PRs, 38 pushes in 9 years
imprecise-probabilitystatisticspythonhypothesis-testingmachine-learning
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