Alice Le Brigant
Research Scientist at ECOLE NATIONALE DE L'AVIATION CIVILE
Summary
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RockstarAlice Le Brigant is a research scientist and applied mathematics researcher with seven years of experience bridging theoretical math and practical software engineering. Based in France and active as an assistant professor on the SAMM team at University Paris 1, she brings rigorous academic training to open-source development, notably contributing backend implementations and test automation for the popular geomstats library. Her work on manifold-valued statistics—adding von Mises–Fisher sampling, metric and geodesic computations, and robust tests—demonstrates a knack for turning abstract geometry into reliable, reusable code. Colleagues rely on her for thoughtful integration of statistical methods into production-ready libraries and for ensuring numerical correctness through automated testing.
8 years of coding experience
Github Skills (7)
geo10
geometry10
python10
geom10
testing10
pytorch8
tensorflow8
Programming languages (2)
Github contributions (5)
geomstats/geomstats
Aug 2018 - Nov 2022
Computations and statistics on manifolds with geometric structures.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:138 reviews, 348 commits, 91 PRs in 4 years 3 months
Contributions summary:Alice's contributions focused on implementing new methods for working with distributions on manifolds within the geomstats library. The user added and tested a method for sampling from the von Mises Fisher distribution on the Hypersphere, as well as several tests for functionality around the mean and concentration parameter. The user also integrated new functions for computing metrics, distances, and geodesic operations.
statisticsgeometrymanifoldmachine-learningdeep-learning
alebrigant/ShapeMatching
Sep 2018 - May 2021
Contributions:6 commits, 1 PR, 3 pushes in 2 years 8 months
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