Laure Buhry
About Laure Buhry
Laure Buhry is a postdoctoral researcher at Inria Nancy Grand Est in France, specializing in computational neuroscience. She has a diverse academic background, including studies in mathematics and neuroscience, and has contributed to research on memory deficits and the effects of general anesthesia since 2013.
Work at Inria
Laure Buhry has been a Postdoctoral Researcher at Inria Nancy Grand Est since 2012. Her work at Inria focuses on computational neuroscience, specifically the application of this field to understand memory deficits and the effects of general anesthesia. Over her tenure, she has contributed significantly to research initiatives and has been involved in various projects that explore the intersection of neuroscience and computational methods.
Previous Experience at Ruhr-Universität Bochum
Prior to her current role, Laure Buhry worked as a Postdoctoral Researcher at Ruhr-Universität Bochum from 2010 to 2012. During her two years in Germany, she engaged in research that contributed to her expertise in computational neuroscience. This experience provided her with a solid foundation for her subsequent work at Inria.
Education and Expertise
Laure Buhry's educational background includes a Doctorate in Neuroscience from Université Bordeaux 1, completed between 2007 and 2010. She also holds two Master's degrees: one in Mathematics from Université Bordeaux 1 (2004-2006) and another from Université Bordeaux 2 (2006-2007). Additionally, she studied at Université Paris - Est Marne - La - Vallée and Lycée Albert Schweizer. Her diverse educational background supports her expertise in computational neuroscience and related fields.
Teaching Contributions
In addition to her research, Laure Buhry is involved in teaching various subjects, including mathematics, computer science, computational neuroscience, and cognitive science. Her teaching activities complement her research work and help disseminate knowledge in these fields to students and peers.
Research Focus
Laure Buhry's research primarily focuses on the application of computational neuroscience to study memory deficits and the effects of general anesthesia. Since at least 2013, she has been actively contributing to the understanding of these complex topics, utilizing computational models to explore neurological phenomena.