Jean-Francis Roy

Staff Applied Scientist at Coveo

Jean-Francis Roy is an experienced Staff Applied Scientist and R&D Director of Machine Learning at Coveo, where responsibilities include developing machine learning algorithms for AI-powered search since August 2016. Prior to this, Jean-Francis conducted research on supervised and semi-supervised learning at Université Laval from 2008 to 2018 while completing a Ph.D. in Computer Science. Jean-Francis also served as a course lecturer in various computer science subjects at Université Laval and was a core team member at Funtoo Technologies, where leadership as Core Team Lead was undertaken for part of the duration. Earlier experience includes a machine learning research internship at Coveo and consulting for mainframe and VAX architectures at CGI. Academic credentials include a Doctor of Philosophy, Master of Science, and Bachelor’s degree in Computer Science from Université Laval, along with a diploma in Informatique from Collège François-Xavier-Garneau.

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