Francesco Cardinale

Francesco Cardinale is a Staff Research Engineer at Synthesia, with experience in machine learning, deep learning research, and computer vision. Previously, Francesco worked as a Machine Learning Engineer at Axel Springer AI and as a Trainee in Data Science/Machine Learning at idealo internet GmbH. Francesco has a Master's degree in Computational and Applied Mathematics from Technische Universität Berlin and a Bachelor's degree in Mathematics from Università degli Studi di Parma.