Summary
Valentin Debarnot is a junior professor and computational microscopist with 9 years of experience applying mathematics and machine learning to image processing, spanning a PhD and postdoc in fluorescence and electron microscopy. He develops statistical and geometric tools for practical microscopy problems and focuses on deploying these algorithms directly on microscopes, bridging theory and instrument implementation. His background in applied mathematics and bandit algorithms reflects a strong quantitative foundation that informs robust, efficient solutions for experimental imaging. Based in Lyon, he combines academic rigor with hands-on engineering to translate advanced methods into usable laboratory software.
9 years of coding experience
Master Research Mathematics, Mathematiques, Master Research Mathematics, Mathematiques at Université Paul Sabatier Toulouse III
Bachelor of Applied Science (B.A.Sc.), Applied Mathematics, Bachelor of Applied Science (B.A.Sc.), Applied Mathematics at Institut national des Sciences appliquées de Toulouse
French, English