Quentin Duché
About Quentin Duché
Quentin Duché is a Postdoctoral Research Fellow at Inria in Aquitaine, France, where he engages in multidisciplinary research focused on healthcare innovations. He holds a Doctorate in Philosophy from Université De Rennes I and has experience in signal processing and cognitive evaluation related to various neurological conditions.
Work at Inria
Quentin Duché has been a Postdoctoral Research Fellow at Inria since 2015. His work involves engaging in multidisciplinary research projects that address challenges related to digital transformation. He collaborates with both industry and academic partners to develop innovative solutions, particularly in the healthcare sector. His research focuses on evaluating cognitive states and rehabilitation capacities in various pathological contexts, including Alzheimer's disease, multiple sclerosis, and strokes, utilizing task-based functional magnetic resonance imaging data.
Education and Expertise
Quentin Duché studied at Esir (école Supérieure D'ingénieurs De Rennes) from 2008 to 2011, where he earned a degree in Engineering. He then pursued further education at Université De Rennes I, obtaining a Doctorate in Philosophy from 2011 to 2015. This combination of engineering and philosophical studies provides him with a unique interdisciplinary perspective, enhancing his research capabilities in cognitive evaluation and healthcare solutions.
Background
Before his current role at Inria, Quentin Duché gained practical experience as an intern at Laboratoire Traitement Du Signal Et De L’image (LTSI) / Inserm in France for two months in 2010. He later worked as a PhD candidate at the same laboratory from 2011 to 2015, where he focused on research related to cognitive states. Additionally, he completed a six-month industrial traineeship at CSIRO in Australia in 2011, further broadening his research and practical experience.
Research Contributions
At Inria, Quentin Duché contributes to the development of innovative solutions in healthcare. His research specifically targets the evaluation of cognitive states and rehabilitation capacities in patients with conditions such as Alzheimer's, multiple sclerosis, and strokes. By leveraging task-based functional magnetic resonance imaging data, he aims to enhance understanding and treatment approaches for these pathological conditions.