news

Apr 15, 2024 Thrilled to make a meta-update! This month, I have graduated from Bocconi University with a MS in Data Science! Thanks to my awesome supervisor Carlo Lucibello for 5 years of mentorship. Since February I am also interning at KAUST in Prof. Richtárik’s group, focusing on Optimization!
Dec 26, 2023 Came back home for the holidays, happy to see family and friends. I will take some time to finish my Thesis and some documents I have been writing up, as well as continue with the Austrian and French research. Stay Tuned (hopefully) for updates on the Ph.D. application process and new destinations!
Oct 1, 2023 very excited to share that I will continue as a Research Intern at Ecole Normale Superieure (ENS). I will be in Bruno Loureiro’s group and work on Stochastic Gradient Descent for structured data.
Jun 1, 2023 super happy to share that I am a Research Intern at the Institute of Science and Technology Austria (ISTA). I will be in Prof. Marco Mondelli’s group and work on Statistical to Computational Gaps, Information Theory, Algorithms and Message Passing!
Mar 31, 2023 did two lectures. A long one about the connection between percolation and spin systems and a shorter one based on a paper about Statistical Physics applied to Neural Networks. Both are found in “talks”
Feb 1, 2023 for the next two months, I am attending two wonderful Ph.D. courses. Statistical Physics by Prof. Marc Mezard and Graph Theory by Prof. Luca Trevisan.
Jan 15, 2023 over with the winter session, gave one lecture about the Neural Tangent Kernel and a longer one about Optimal Transport for Neural Networks. Both are found in “talks”
Sep 3, 2022 for the next three months I will attend a super Ph.D. course on Optimal Transport taught by Prof. Giuseppe Savarè
Aug 28, 2022 very grateful to be selected to attend three Ph.D. courses on topics that I like. Incidentally, the Professors that hold them are also leaders in their respective fields. The course content and instructors are at the forefront of science, very exciting! I have also driven for 3000 km through Italy with my motorbike to make the most of the break.
Jul 25, 2022 attended the First Italian School on Geometric Deep Learning. Selected for a Scholarship.
Jun 1, 2022 started two self study projects on Statistical Physics and Geometric Deep Learning. I will begin with this StatPhys course and these GDL lectures.
May 20, 2022 finished first year exams, gave a lecture on some aspects of the matching problem. Available in “talks”
Apr 15, 2022 selected to participate to the Visiting Student Initiative. I will be mentored by Prof. Lucibello and Prof. Saglietti from the Computing Sciences Department of Bocconi.
Jan 30, 2022 served as teaching assistant and gave an advanced session about Simulated Annealing for the Harvard Mini-Course on Computation organized by Ph.D. student Chi-Ning Chou. It is available in “talks”