Guillaume Mougeot is a postdoctoral researcher and deep learning engineer based in Aarhus with nine years of experience bridging academic research and hands-on AI development. He holds a PhD in Computer Science and studied deep learning, computer vision, VR/AR, and mathematics across institutions in France, China, and the UK, giving him a strong interdisciplinary foundation. At Aarhus University he focuses on advancing general and artificial intelligence while translating research prototypes into engineered solutions. Earlier work includes haptics and human–machine interaction for automotive design, reflecting a practical bent for embodied AI. Colleagues describe him as an avid learner and sharer who combines rigorous research with pragmatic development skills. Outside work he pairs a love of nature with AI, which often informs his creative research directions.
9 years of coding experience
Master's degree, Deep Learning and Computer Vision, Master's degree, Deep Learning and Computer Vision at Shanghai Jiao Tong University
Mathematics and Physics, Mathematics and Physics at Lycée Kléber
Engineer's degree, Virtual and Augmented Reality, Engineer's degree, Virtual and Augmented Reality at Ecole centrale de Nantes
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Oxford Brookes University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Clermont Auvergne
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Guillaume Mougeot - Postdoctoral Researcher at Aarhus University