Nicolas Gensollen
About Nicolas Gensollen
Nicolas Gensollen is a Research and Development Engineer at Inria in Paris, specializing in machine learning, image processing, and computer vision. He has a diverse background in research roles across various institutions, including postdoctoral positions and a PhD in computer science.
Work at Inria
Nicolas Gensollen has been employed at Inria as a Research and Development Engineer since 2022. He works in Paris, contributing to various projects within the organization. His role involves developing neuroimaging algorithms and software as part of the ARAMIS team at the Brain Institute (ICM). Gensollen's expertise in machine learning, image processing, and computer vision plays a significant role in his contributions to research and development initiatives at Inria.
Previous Positions
Before joining Inria, Nicolas Gensollen held several positions in research and academia. He served as a Postdoctoral Research Fellow at LIP6 - Le laboratoire d'Informatique de Sorbonne Université from 2018 to 2020. Prior to that, he worked as a Postdoctoral Research Scientist at IMT - Institut Mines-Télécom for three months in 2016. He also spent a year as a Postdoctoral Researcher at the National Renewable Energy Laboratory in Colorado, USA, from 2017 to 2018. His earlier experience includes roles at IMT as a Research Engineer and a Doctoral Student.
Education and Expertise
Nicolas Gensollen has a strong educational background in mathematics, physics, and computer science. He completed his PhD at Pierre and Marie Curie University from 2013 to 2016. He also holds a Diplôme d'ingénieur in Telecommunications Engineering from Télécom SudParis, achieved between 2009 and 2012. His foundational education includes preparatory classes in Mathematics and Physics at Lycée Pasteur and a Baccalauréat from Lycée Richelieu. Gensollen specializes in machine learning, image processing, and computer vision.
Research Contributions
At Inria, Nicolas Gensollen is involved in the development of neuroimaging algorithms and software, which are critical for advancements in brain research. His work is part of the ARAMIS team at the Brain Institute (ICM), where he applies his expertise in machine learning and image processing to enhance neuroimaging techniques. Gensollen's contributions aim to improve the understanding of brain functions and disorders through innovative computational methods.