Summary
Matthew Ozon is a senior data scientist and applied mathematician based in Paris with 11 years of experience turning complex physical and biological systems into actionable models and algorithms. He bridges research and engineering—leading postdoc projects and student teams while shipping production-ready code in Julia, Python and C++ for tasks from Bayesian inversion to microscopy image classification. His work spans atmospheric physics, astrophysical and medical imaging, and protein characterization, with particular strength in parameter estimation, uncertainty quantification and convex/stochastic optimization. Comfortable on clusters with CI and git workflows, he excels at recasting scientific questions into tractable inverse problems and data-driven solutions. An uncommon asset is his combination of deep mathematical modelling with hands-on dev practices, enabling reproducible research that informs stakeholders and experimental design.
11 years of coding experience
8 years of employment as a software developer
Engineer's degree (master), image processing, Engineer's degree (master), image processing at Université de Strasbourg
Doctor of Philosophy (PhD), Image processing (in medical framework), Doctor of Philosophy (PhD), Image processing (in medical framework) at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Engineer's degree (master), Engineering Physics / image processing, Engineer's degree (master), Engineering Physics / image processing at Télécom Physique Strasbourg
French, English, Spanish