Benjamin Perret is a computer vision and image processing researcher-practitioner with 11+ years of academic experience, currently a professor at ESIEE Paris. He designs and implements robust image-analysis pipelines—ranging from Python/Matlab prototypes to high-performance C/C++ code—for problems in multispectral imaging, morphological analysis, and Bayesian/MCMC inference. Experienced in teaching and applied research, he has a track record of turning astronomical image challenges into validated processing tools and public utilities (e.g., FITS MATLAB modules). Comfortable across languages (JavaScript demos, C#/Java apps), he blends rigorous statistical methods with practical engineering to deliver reproducible research and production-ready systems.
10 years of coding experience
1 year of employment as a software developer
PhD, Images, sciences and computer science, Master, Fondamental and Applied Computer Science, PhD, Images, sciences and computer science, Master, Fondamental and Applied Computer Science at University of Strasbourg
Contributions:86 commits, 70 pushes, 1 branch in 4 years 1 month
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