Thomas Michel is a highly experienced professional in the fields of data science and machine learning, with a career spanning multiple companies and roles focused on artificial intelligence applications. Notable positions include Senior Data Scientist and Artificial Intelligence Lead at Jellysmack, where Thomas utilized computer vision for video editing tools, and a Machine Learning Engineer at Animaj, developing AI solutions for 3D animation workflows. Previous experience includes serving as a Specially Appointed Researcher at Osaka University, engaging in insurance claim prediction using advanced machine learning techniques, and contributing to AI projects at Valeo, with expertise in neural network optimization and implementation. Thomas holds advanced degrees in mathematics from Université Paris Sud and École Normale Supérieure Paris-Saclay and has experience in lecturing and tutoring in mathematical and AI subjects. Currently, Thomas is a Machine Learning Engineer at Meta.
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