Francesco Chini is a PhD holder in Mathematics from the University of Copenhagen, with research focused on Differential Geometry and PDEs. They have served as an Algorithm Developer at KARL.farm ApS and a Postdoctoral Researcher at the University of Tübingen. Currently, Francesco works as a Reinforcement Learning Expert at enspired, while maintaining a keen interest in AI, machine learning, and ecological issues. Their educational background includes a Bachelor's and Master's degree in Mathematics from the Università degli Studi di Trento, along with an Erasmus exchange program at the University of Helsinki and an exchange period at the Massachusetts Institute of Technology.
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