Martin Royer
About Martin Royer
Martin Royer is a postdoctoral researcher at Inria in the Paris region of France, specializing in mathematics, computer science, and image processing. He has an extensive educational background, including studies at Lycée Charlemagne, Ecole Polytechnique, and Ecole Normale Supérieure de Cachan.
Work at Inria
Martin Royer has been working at Inria as a postdoctoral researcher since 2018. His role involves conducting advanced research in the fields of mathematics and computer science. Inria is a prominent research institution in France, focusing on digital science and technology. Royer's contributions are part of ongoing projects aimed at enhancing knowledge in image processing and vision.
Education and Expertise
Martin Royer has an extensive educational background in mathematics and computer science. He studied at Lycée Charlemagne, where he focused on mathematics, physics, and computer science from 2006 to 2008. He then attended Ecole Polytechnique, specializing in image processing and vision from 2008 to 2012. Additionally, he studied at Ecole nationale des Ponts et Chaussées and Ecole Normale Supérieure de Cachan, furthering his expertise in mathematical engineering and vision learning.
Previous Work Experience
Before joining Inria, Martin Royer held various positions in research and engineering. He worked as a Research Engineer at Thales from 2013 to 2014. Prior to that, he completed a research internship at Technicolor in 2011. He also served as a PhD candidate at Université Paris-Saclay from 2014 to 2018, focusing on applied mathematics and statistics. Additionally, he had a role at Dassault Systemes as a PFE from 2012 to 2013.
Research and Development Background
Martin Royer's research background includes significant contributions to applied mathematics and computer science. His experience spans various sectors, including his internship at Technicolor and his research engineer role at Thales. His academic pursuits at prestigious institutions have equipped him with a solid foundation in image processing and vision, which he continues to develop in his current postdoctoral role at Inria.