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Rémi Lebret is a Research Scientist at EPFL, focusing on multilingual and multimodal learning, with expertise in large language models and vision language models, leading significant projects in collaboration with organizations such as the International Committee of the Red Cross and Google DeepMind. Additionally, Rémi serves as an AI Consultant at Privately Sàrl, developing AI-based tools aimed at enhancing children's online well-being and safety. Previously, Rémi worked as a Research Assistant at Idiap Research Institute, a Research Intern at Facebook, and a Research Engineer at CNRS, contributing to advancements in deep learning and statistical methods. Rémi holds a PhD in Electrical Engineering from EPFL and a Master's in Computer Software Engineering and Statistics from Polytech Lille.