Maxime De Bois, PhD, is a data scientist at PandaScore since October 2020, specializing in the development and maintenance of computer vision models for esports video streams, as well as managing MLOps pipelines. Prior experience includes a doctoral research at CNRS focusing on deep learning for predicting glucose levels in diabetic patients, where Maxime created glucose predictive models and published findings at international conferences. Earlier roles involved teaching various programming and computer architecture courses at IUT d'Orsay, conducting research on activity recognition and data fusion at CNRS, and internships at Thales and Orange working on target classification and telecommunication solutions. Maxime holds an engineering degree in Embedded Systems from ECE, with additional studies in Computer Science at UC San Diego and Dublin City University.
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