Gilles Louppe

Research Scientist at ULiège

Liège, Liège, Belgium
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Summary

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Gilles Louppe is a research scientist based in Liège, Belgium, with 14 years of experience at the intersection of machine learning research, teaching, and software development. He combines deep expertise in Bayesian methods and deep learning with practical engineering work—contributing to flagship projects like scikit-learn and scikit-optimize where he improved model algorithms, performance, and maintainability. As an educator he authors and maintains university deep learning and AI course materials, translating advanced concepts into hands-on Jupyter notebooks and polished teaching assets. Equally comfortable refactoring backend optimization code and tweaking front-end course layouts, he brings a rare blend of research rigor, pedagogy, and full-stack craftsmanship to AI-for-science projects.
code14 years of coding experience
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Github Skills (26)

pytorch10
python10
feature-selection10
scikit10
css10
machine-learning10
ensembles10
optimisation10
scikit-learn10
html10
jupyter-notebook10
optimization10
data-science9
algorithm9
code-optimization9

Programming languages (8)

CSSRCTeXPHPHTMLJupyter NotebookPython

Github contributions (5)

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Lectures for INFO8010 Deep Learning, ULiège
Role in this project:
userData Scientist
Contributions:7 releases, 3 reviews, 260 commits in 4 years 5 months
Contributions summary:Gilles's commits focused on the development and modification of Jupyter notebooks related to a Deep Learning course. The commits show modifications to a notebook on PyTorch basics involving autograd examples and a demonstration of input pipeline. Further contributions include adding and modifying content for the lectures, with a specific example related to the implementation of a classifier. The contributions involve image manipulation and machine learning models.
deep-learningulimachine-learningtensorflow
Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège
Role in this project:
userFront-end Developer
Contributions:6 releases, 4 reviews, 505 commits in 5 years 5 months
Contributions summary:Gilles primarily focused on front-end development, as demonstrated by commits that modified the `assets/style.css` and `index.html` files. They made stylistic changes such as font sizes, colors, and layout adjustments. Furthermore, the user appears to be creating and/or updating the presentation layout.
deep-learningartificialmachine-learningulinatural-language-processing
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Gilles Louppe - Research Scientist at ULiège