Dominique Béréziat
Maître De Conférence Associate Professor
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolDominique Béréziat is an associate professor and researcher at Sorbonne Université with over two decades of experience in image processing, inverse problems, data assimilation and statistical learning. Trained as a mathematician (PhD Paris-Sud) and habilitated in computer science, he blends rigorous applied-math foundations with practical algorithm development for imaging and assimilation problems. His academic career spans roles at ENSIEE and INRIA and a long-standing affiliation with LIP6, where teaching and research projects often feed into personal and course-related GitHub work. Known for bridging theory and implementation, he focuses on methods that bring uncertainty quantification into image reconstruction—a detail that informs both his research and graduate training. Based in Paris, he combines deep domain expertise with a track record of supervising and disseminating reproducible research.
11 years of coding experience
3 years of employment as a software developer
PhD Thesis, Applied Mathematics, PhD Thesis, Applied Mathematics at Paris-Sud University (Paris XI)HDR, Computer Science, HDR, Computer Science at Pierre and Marie Curie University
French, English
Github Skills (8)
fusion8
forecasts7
deep-learning4
pytorch4
python2
itk1
image-processing1
image1
Programming languages (2)
Github contributions (5)
bereziat/homebrew-inrimage
Dec 2017 - Mar 2022
Contributions:8 pushes, 1 branch in 4 years 3 months
VincentBouget/rain-nowcasting-with-fusion-of-rainfall-and-wind-data-article
Dec 2020 - Apr 2022
Repository for article "Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting"
Contributions:17 commits, 2 PRs, 11 pushes in 1 year 4 months
pytorchradardeep-learningwindforecasts
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