Nicolas Dewolf
Open To New Opportunities at Specialized in uncertainty-aware data modelling. Currently spending time on some personal projects.
Oudenaarde, East Flanders, Belgium
Summary
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Senior🎓
Top SchoolNicolas Dewolf is a machine learning researcher and quantitative risk consultant with a PhD from Ghent University, specializing in uncertainty modelling and statistical guarantees for ML systems. He combines eight years of experience across academia and industry, including a role in credit risk at EY and teaching physics and probabilistic models. His academic work bridges theoretical physics and ML—ranging from symmetries in matrix product states to provable uncertainty estimation—bringing a strong mathematical foundation to practical, risk-sensitive modelling. Based in Oudenaarde, Belgium, he now focuses on uncertainty-aware data modelling through personal projects while remaining open to new opportunities. Colleagues describe him as comfortable moving between abstract theory and implementable solutions, with a knack for translating complex probabilistic ideas into usable tools.
8 years of coding experience
Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering at Ghent University
Stackoverflow
103reputation
0reached
0answers
0questions
Github Skills (8)
sklearn7
regression6
classification6
python5
prediction-intervals4
data-science3
encoder2
scikit-learn2
Programming languages (4)
Github contributions (5)
nmdwolf/Math
Nov 2017 - Oct 2022
Contributions:223 commits, 84 pushes in 5 years
nmdwolf/nmdwolf.github.io
Nov 2022 - May 2026
Contributions:142 pushes, 1 branch in 3 years 6 months
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