Louis Faury
About Louis Faury
Louis Faury is a Machine Learning Researcher at Criteo, specializing in sequential decision making, bandit algorithms, and reinforcement learning.
Company
Louis Faury is currently working at Criteo, where he has held various positions since 2017. His roles at Criteo have included Machine Learning Research Intern, PhD Student Machine Learning Researcher, and now Machine Learning Researcher. During his tenure, he has also been providing internal teaching and consulting for engineering teams.
Title
Louis Faury holds the title of Machine Learning Researcher at Criteo as of 2021.
Education and Expertise
Louis Faury has a strong academic background with a focus on machine learning and artificial intelligence. He earned his PhD in Machine Learning from Télécom ParisTech between 2018 and 2021. He also holds a Master of Science in Artificial Intelligence from EPFL (École polytechnique fédérale de Lausanne), completed between 2016 and 2018, as well as another Master of Science in Computational and Applied Mathematics from École Polytechnique, earned from 2013 to 2016. His foundational education in mathematics and physics was gained at Lycée Stanislas, where he completed a Prépa program from 2011 to 2013.
Background
Before his current role at Criteo, Louis Faury worked at Exotec Solutions as an Artificial Intelligence Consultant for a year from 2016 to 2017. He also had a 6-month stint as a Research and Development Intern at Exotec Solutions in 2016. His career at Criteo began with a year-long internship in Machine Learning Research from 2017 to 2018, followed by his role as PhD Student Machine Learning Researcher from 2018 to 2021.
Research Focus
Louis Faury's research is centered on sequential decision making, bandit algorithms, and reinforcement learning. These areas are critical for developing advanced machine learning models and algorithms that can adapt and improve based on real-time data and feedback.