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Leonardo Galli received the B.S., M.S., and Ph.D. degrees from the University of Florence, Florence, Italy, in 2013, 2016, and 2020, respectively.
In 2015, he spent a research period at the University of Würzburg, Würzburg, Germany, where he worked on generalized Nash equilibrium problems together with Prof. Christian Kanzow. He currently holds a post-doctoral position at the Department of Mathematics, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen, Aachen, Germany. In particular, together with his tutors Marco Sciandrone and Fabio Schoen, he deeply explored the fields of nonmonotone techniques and prescriptive analytics. During his studies, he had various international collaborations. Starting from 2018, he collaborated with Prof. Chih-Jen Lin on TN methods for linear classification. In particular, they aimed at updating LIBLINEAR, one of the most widely used and cited linear classification packages. Because of this project, he could visit Prof. Lin for a research period at the University of California at Los Angeles (UCLA), Los Angeles, CA, USA, in 2019, and National Taiwan University, Taipei, Taiwan, in 2020. The project has ended in 2020 when a faster release of the LIBLINEAR software was released. His major research areas include optimization methods, machine learning, and operational research. More information about him and his work can be found at https://webgol.dinfo.unifi.it/leonardo-galli/.
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