Claire Guerrier

Claire Guerrier is a CNRS junior researcher at Côte d'Azur University, affiliated with the Laboratoire Jean Alexandre Dieudonné, where she conducts interdisciplinary research at the intersection of applied mathematics and computational neuroscience. She was previously an invited scholar at McGill University in the Department of Physiology and Medicine and completed her postdoctoral training at the University of British Columbia in the Mathematics Department and Brain Research Center.

Her educational background includes a PhD from École Normale Supérieure and Université Paris VI, where she worked under the supervision of Professor David Holcman. Her doctoral research focused on multi-scale modeling and asymptotic analysis of neuronal synapses and networks.

Claire Guerrier's research interests lie in understanding how neurons process and encode information through mathematical modeling. She specializes in systems with multiple spatial and temporal scales, combining deterministic continuum dynamics with stochastic effects. A central theme of her work is the role of dendritic morphology in neuronal information processing. She employs tools from partial differential equations, stochastic processes, and numerical simulations to investigate synaptic and network-level dynamics.

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There is no mention of student advisement or grant funding in the provided content. Claire Guerrier has held significant research positions including a CNRS appointment and international fellowships, which typically involve independent research and may include supervision responsibilities, though no specific students are listed.

Claire Guerrier is actively involved in research teams focusing on computational neuroscience and mathematical biology. Her work bridges theoretical modeling and experimental neuroscience, particularly in studying experience-driven neural encoding and calcium dynamics in neurons. She collaborates with institutions such as the Brain Research Center at UBC and the Department of Physiology at McGill University, contributing to an international network of interdisciplinary neuroscience research.