Filippo Vicentini is a computational physicist working at the interface between machine learning and quantum physics. His aim is to develop advanced but easy-to-use learning algorithms for solving complex problems in quantum science and technology. He is known for extending machine learning tools to non-equilibrium physics and for his numerous contributions to the field of open source software for quantum physics. He received his PhD in theoretical quantum optics from Université Paris Cité in 2019. He then spent the COVID months working for the Flatiron Institute in New York, before joining the Computational Quantum Science Laboratory at EPFL, Lausanne. Since April 2023, he has been an assistant professor at the Ecole polytechnique (IP Paris), where he holds the chair of artificial intelligence and quantum physics.
