Charles Dufour
Research And Teaching Assistant at EPFL (École polytechnique fédérale de Lausanne)
Lausanne, Vaud, Switzerland
Summary
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Rockstar🎓
Top SchoolCharles Dufour is a PhD candidate and research & teaching assistant in Statistical Data Science at EPFL with eight years of experience applying applied mathematics to real-world machine learning and data science problems. He has combined academic rigor—teaching graph theory, linear models, analysis and algebra—with industry practice building object detection pipelines, default prediction models, cash-flow forecasting and FX hedging solutions. Comfortable moving between research, pedagogy and production, Charles has held data-science roles at Tetra Laval, Visium and Effixis while pursuing an MS and PhD in mathematics and statistics. Known for translating theoretical methods into practical models, he brings a rare blend of deep quantitative training and hands-on deployment experience in finance and computer vision.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS, Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS at EPFL (École polytechnique fédérale de Lausanne)
French, English
Github Skills (30)
geometric-deep-learning10
pytorch10
graph10
deep-learning10
graph-neural-network10
graph-convolutional-networks10
neural-network9
julia6
scientific-machine-learning5
dde5
differential-equations4
journal4
ode4
optimization4
creative-commons3
Programming languages (9)
Github contributions (5)
dufourc1/SemesterProjectMA3
Sep 2019 - Mar 2020
Comparison of standard combinatorial optimization with reinforcement learning techniques on rescheduling problems as semester project
Contributions:113 commits, 2 PRs, 84 pushes in 6 months
techniquessemester-projectproblemsoptimizationreinforcement-learning
SDS-EPFL/NetworkHistogram.jl
Apr 2023 - Feb 2025
Network Histogram method for approximating graphons
Contributions:3 releases, 8 PRs, 86 pushes in 1 year 10 months
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