About me
I am currently a postdoctoral researcher in the IOL Group at the Zuse Institute Berlin, where I work with Sebastian Pokutta among others.
Previously, I completed a joint PhD in Computer Science at École Polytechnique, France, and Università di Pisa, Italy, mentored by Claudia D’Ambrosio, Antonio Frangioni and Leo Liberti. I hold an MSc in Data Science and Business Informatics from Università di Pisa.
Research
My current research focuses on the design and analysis of algorithms for convex optimization, with a strong emphasis on high-dimensional problems and first-order methods. I recently studied the convergence properties of Frank–Wolfe methods when combined with nonsmooth optimization techniques to build inexact oracles, when applied to over product domains, and when used in barrier-based relaxation schemes. On the application side, I explored the computational performance of these algorithms in diverse contexts, with applications in quantum nonlocality, optimization over product domains and semidefinite programming.
During my PhD, I worked on mixed-integer linear/nonlinear programming, in particular distance geometry on large graphs, and I investigated the integration of machine learning predictors into combinatorial optimization problems.
My PhD thesis is Algorithmic Configuration by Learning and Optimization.
I was fortunate to receive the “Premio Lorenzo Brunetta”, awarded to the best PhD thesis in operations research obtained in the years 2019–2021.
For more details on my research, check out my papers here, on my CV or on my Google Scholar.