Sylvain Prigent
About Sylvain Prigent
Sylvain Prigent is a Data Scientist with expertise in medical imaging and machine learning. He has developed applications and algorithms for analyzing skin lesions and enhancing image processing, and he currently works at Inria in Rennes, France.
Work at Inria
Sylvain Prigent has been employed as a Data Scientist at Inria since 2020. His role involves leveraging data science techniques to contribute to various projects within the organization. Inria is known for its focus on computer science and applied mathematics, and Prigent's work aligns with the institute's mission to advance research and innovation in these fields. His current position is based in the Région de Rennes, France.
Education and Expertise
Sylvain Prigent holds a Master's degree in Signal Image Parole Telecom from the Institut polytechnique de Grenoble, which he completed in 2009. He further pursued a Research Doctorate in Traitement des Images at Université de Nice-Sophia Antipolis from 2009 to 2012. Additionally, he earned a Master of Engineering in Signal and Image Processing from Grenoble INP - Ense3 between 2006 and 2009. His educational background provides a strong foundation in data science, image processing, and machine learning.
Background
Prior to his current role at Inria, Sylvain Prigent gained experience in various positions. He worked as a Data Scientist and Project Manager at Institut Curie from 2018 to 2019. His earlier roles include a Data Scientist position at Biogenouest from 2014 to 2018 and a post-doctoral position at Université Nice Sophia Antipolis from 2012 to 2013. He also had a brief tenure at Inria in a technology transfer role from 2013 to 2014.
Achievements in Medical Imaging
Sylvain Prigent developed a desktop application specifically for medical imaging, aimed at assessing the evolution of skin lesions under treatment. He has also implemented database and image analysis workflows using Docker for big data analysis in collaboration with Institut Curie. His work includes developing machine learning image processing algorithms for low photon rate image reconstruction in partnership with Airbus.
Contributions to Machine Learning and Data Science
Prigent has been involved in the development of machine learning algorithms for connected wearable devices as part of a project with EIT-Digital. He also created Platform-Manager, a web application designed to manage scientific core facilities data, which streamlines the management, tagging, and analysis of scientific projects and images. His contributions reflect his expertise in applying data science to practical and impactful projects.