PHD Researcher at School of Informatics, University of Edinburgh
United Kingdom
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Nicolas Navarre is a PhD researcher at the University of Edinburgh with 11 years of cross-disciplinary experience at the intersection of cognitive science, computational modeling, and applied engineering. His work spans modeling human learning, causal reasoning and language processing, complemented by hands-on experiment design and implementation using tools like JsPsych and JATOS. Past projects include modeling curiosity with reinforcement learning, developing computational accounts of modal representations, and building data-driven controls and test systems in industry settings such as Tesla and the National Research Council of Canada. Trained in Engineering Physics (UBC) and Cognitive Science (ENS-PSL/EHESS), he combines rigorous quantitative skills with practical engineering and field deployment experience—an asset for translating cognitive theories into testable, real-world systems.
11 years of coding experience
1 year of employment as a software developer
PhD in Natural Language Processing CDT, Informatics, PhD in Natural Language Processing CDT, Informatics at The University of Edinburgh
International Baccalaureate Diploma, International Baccalaureate Diploma at Western Canada High School
Bachelor of Applied Science - BASc, Engineering Physics, Bachelor of Applied Science - BASc, Engineering Physics at The University of British Columbia
Master of Science - MS, Cognitive Science, Master of Science - MS, Cognitive Science at ENS-PSL, EHESS, University of Paris
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Nicolas Navarre - PHD Researcher at School of Informatics, University of Edinburgh