Victor MARTIN

Victor MARTIN has a wealth of work experience, starting in 2011 as an Embedded Developer for Robotik UTT. In 2013, they worked as an Embedded Developer Intern at Clearsy, where they integrated a TCP/IP Stack on PIC32 and developed a diagnostic module for the COPPILOT.M project. In 2014, they worked as an Image Processing Intern at Safran Aircraft Engines, where they were responsible for detecting and quantifying porosities in micrographic sections. From 2015 to 2019, they held various positions, including Computer Vision Engineer at CHANEL, where they analyzed and simulated facial aging, and Machine Learning Engineer at WASSA, where they worked on age estimation and face authentication on mobile phones. In 2019, they joined Privowny as a Machine Learning Engineer/Data Scientist, and in 2020 they became the Lead Machine Learning at Unistellar.

Victor Martin obtained their DEUG from Aix-Marseille University in 2009-2011, followed by an Engineering Degree in Signal & Image Processing from Université de Technologie de Troyes in 2011-2014. Victor then pursued a Research Master in System Optimization from the same university in 2013-2014. Finally, they completed their PhD in Machine Learning from CentraleSupélec in 2015-2018.