Cyrille Doux
Research Scientist at CNRS - Centre national de la recherche scientifique
Grenoble, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolCyrille Doux is a research scientist specializing in statistical cosmology, combining CMB observations and galaxy surveys to probe the Universe’s structure and fundamentals. With over a decade of experience across institutions like CNRS, University of Pennsylvania, and Paris Diderot, he blends traditional cosmological analysis with deep-learning applications to tackle gravitational lensing and image-based inference. He has a strong teaching and outreach record—running ML workshops at Penn, lecturing first-year physics students, and organizing public science events—reflecting a commitment to training the next generation. Trained at École normale supérieure and holding a PhD from Paris Diderot, he brings both theoretical depth and practical data-science skills to interdisciplinary problems at the intersection of astronomy and machine learning.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Theoretical Physics, with distinction, Master's degree, Theoretical Physics, with distinction at École normale supérieureClasse préparatoire MPSI-MP*, Mathématiques - Physique, Classe préparatoire MPSI-MP*, Mathématiques - Physique at Lycée Marcelin BerthelotDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Université Paris Diderot
French, English, German, Spanish, Japanese
Github Skills (46)
gobject10
cosmology10
symmetry10
gobject-introspection10
gamma10
des10
density-estimation10
galaxy10
bayesian-methods10
numerical-optimization10
blending10
monte-carlo10
dataset-generation9
simulation9
electrophysiology9
Programming languages (4)
Github contributions (5)
LSSTDESC/DeblenderVAE
Aug 2019 - Nov 2020
Contributions:10 commits, 3 pushes in 1 year 2 months
xuod/xuod.github.io
Jul 2017 - Aug 2023
Contributions:2 PRs, 17 pushes, 1 branch in 6 years 2 months
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