François Orieux
Head Of Signal Processing And Statistics Group Of The Laboratory Of Signals & Systems
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolFrançois Orieux is Head of the Signal Processing and Statistics Group at Université Paris-Saclay and an assistant professor specializing in Bayesian methods for ill-posed inverse problems and large-scale data inference. With a PhD in data processing and over a decade of research experience spanning astrophysics, biological microscopy, and medical imaging, he develops probabilistic models and stochastic/optimisation algorithms that jointly estimate signals, hyperparameters and instrument parameters. He led statistical modelling work for the Planck mission at IAP and applies reproducible, physical-model-driven inversion techniques to practical problems from astronomy to nondestructive testing. Known for combining theoretical Bayesian inference with hands-on implementation, he also co-chairs a master’s program and teaches inverse problems, signal processing and linear systems.
10 years of coding experience
5 years of employment as a software developer
Master's degree Engineering, Master's degree Engineering at EseoMaster's degree Mathematics and Computer Science, Master's degree Mathematics and Computer Science at Université de Rennes IDoctor of Philosophy (PhD) Data Processing, Doctor of Philosophy (PhD) Data Processing at Paris-Sud University (Paris XI)
English, French
Github Skills (29)
chainer7
command-line-interface7
cli6
keras6
plugin6
command-line-tool5
command-line5
pytorch4
git4
jupyter4
gluon4
deep-learning4
cupy4
python4
tensorflow4
Programming languages (2)
Github contributions (5)
forieux/udft
Apr 2021 - Mar 2025
Unitary discrete Fourier Transform (and related)
Contributions:12 releases, 2 PRs, 46 pushes in 3 years 11 months
transforminheritancediscretefourierfourier-transform
s3-seminar/s3-seminar.github.io
Sep 2020 - Nov 2024
Contributions:113 pushes, 1 branch in 4 years 2 months
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