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Author: RaffaeleGiuseppeCestari

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 The Learning to Control lab (L2C-Lab) conducts innovative research in data-driven control systems, with a special focus on the automotive and financial domains. In the automotive sector, the aim is to enhance safety and sustainability using data-driven techniques. In finance, data-driven methods safely address challenges like risk assessment and portfolio optimization in real-world uncertain scenarios. L2C-Lab bridges theory and practice, developing real-world solutions through methodological research and practical experimentation. The ultimate goal of the lab is to shape the future of data-driven control systems and address pressing challenges in the above sectors while fostering innovation. Stay updated on the latest findings and projects!