Summary
Pierre Marion is a researcher in Paris with nine years of experience bridging theoretical machine learning and applied R&D across academia and industry. He holds a PhD in the theory of machine learning from Sorbonne Université and advanced degrees from École Polytechnique and MINES ParisTech, combining deep mathematical foundations with public-administration training. His career includes postdoctoral research at EPFL, a student researcher stint at Google DeepMind, and practical R&D and engineering roles at Google and in industry, reflecting fluency in both cutting-edge research and production systems. Currently at Inria, he focuses on fundamental ML questions while drawing on prior experience managing projects in energy and finance sectors. Notably, he has moved between elite academic labs and high-impact tech teams, suggesting an ability to translate theory into deployable solutions. Based in Paris, he maintains a public portfolio site that showcases his research trajectory and professional photography credits, hinting at a thoughtful blend of technical rigor and personal presentation.
9 years of coding experience
3 years of employment as a software developer
PhD, Theory of machine learning, PhD, Theory of machine learning at Sorbonne Université
Master of Science, Applied mathematics and CS, Master of Science, Applied mathematics and CS at Ecole Polytechnique
Corps des Mines, Public Administration, Corps des Mines, Public Administration at MINES ParisTech
Master of Science, Machine Learning, Master of Science, Machine Learning at Sorbonne University
French, English