May 7, 2026 (Paris, France)
I have been invited to hold a seminar at the Laboratoire de Mathématiques d'Orsay of Paris-Saclay University, together with my colleague G.A. D'Inverno, about our work "Understanding push-forward generative models through the lens of optimal transport and regression" (joint with S. Brugiapaglia and B. Adcock). The seminar was part of the closing meetings of the reading group on probability flows, optimal transport, and flow-based generative modeling. A great opportunity to share our work and receive feedbacks from the community before closing the project!
March 12 to June 12, 2026 (Cambridge, UK)
A Huge thank you to Prof. Carola-Bibiane Schönlieb for giving me the chance to spend 3 months visiting her group at the University of Cambridge!
During this research visit, I started a project with Prof. Schönlieb and some colleagues from her group to investigate the geometry of textual data through Diffusion Models and the existence of an underlying Manifold Hypothesis.
It was a great opportunity to work with awesome people and inspiring researchers (Zak, Mar, Georgios, and Carola!), as well as to broaden my perspective on generative models. In fact, it was the first time working with text and language models. It's always nice to explore new fields and directions!
Here is the link to the Poster.
January 21-23, 2026 (Rome, Italy)
For the second year, I have participated in the annual workshop organized by UMI- Unione Matematica Italiana- on Mathematics for Artificial Intelligence & Machine Learning.
During the workshop, I also presented a poster entitled "Understanding push-forward generative models through the lens of optimal transport and regression", where I shared my recent research activities developed during the visiting period in Montréal (joint work with S. Brugiapaglia, B. Adcock, G.A. D'Inverno). Really interesting conversations and insightful directions for future work!
January 14, 2026
A new paper entitled "Training dynamics of GANs through the lens of persistent homology" in collaboration with B.T. Corradini, B. Cullen, S. Marziali, G.A. D'Inverno, M. Bianchini and F. Scarselli has been published in Neurocomputing. For more details, check it out! [link]
October 2, 2025 (Trieste, Italy)
While in Trieste at SISSA for an intense and productive week of work (with S. Brugiapaglia, hosted by G.A. D'Inverno), I had the true pleasure of sharing some results of our latest work in a talk for the SISSA MathLab Analysis Junior Seminars. It is always a great opportunity to get feedbacks and engage discussions to improve the work.
June 9-11, 2025 (Montréal, Canada)
I participated in the workshop "Approximation and learning in high dimensions" at the Centre de recherches mathématiques (CRM), in Montréal. It was great to listen to many inspiring talks from both leading experts and younger collegues, while fostering connections for possible future collaborations.
May 20-24, 2025 (Montréal, Canada)
I attended the Spring School at the Centre de recherches mathématiques (CRM) in Montréal. The program was undoubtedly intense, but it offered a great chance to learn from distinguished speakers and network with international colleagues through many valuable discussions.
April 26 to July 29, 2025 (Montréal, Canada)
I had the awesome opportunity to spend 3 months in Montréal, visiting Simone Brugiapaglia's group at Concordia University and Mirco Ravanelli's SpeechBrain group at MILA - Quebec AI Institute.
During this academic visit, I conducted researches on the mathematical foundations of push-forward generative models focusing on the possible connections between Wasserstein distances and l^p regression.
It was an incredibly enriching experience. I had the chance to work with great people, meet many inspiring researchers and engage in stimulating discussions. Truly hoping that it will boost my future research and foster further collaborations!
Here is the link to the Poster.
January 29-31, 2025 (Bari, Italy)
I joined the annual workshop organized by UMI- Unione Matematica Italiana- on Mathematics for Artificial Intelligence & Machine Learning. It was a great opportunity to meet the Italian mathematical research community, learn about current research directions, and share ideas.
During the workshop, I presented a poster entitled "GANs through the lens of Topological Data Analysis", an ongoing joint work with B.T. Corradini, B. Cullen, S. Marziali, G.A. D'Inverno, M. Bianchini and F. Scarselli. It was great to receive some first feedbacks and discuss the initial phases of this work. Looking forward to share updates and results!
December 4-6, 2024 (Siena, Italy)
Siena hosted the Italian meetup of the Learning on Graph (LoG) conference 2024, and I had the pleasure of being part of the organizing committee with the awesome group of colleagues you see in the photo. So much work, so much fun, and super interesting contributions from all the participants!
September 2-6, 2024 (online)
I attended the third Summer School hosted by the Cambridge Centre for AI in Medicine (CCAIM). The school brought together students, researchers, clinicians, and industry experts in one week of intense dives and work sessions. A great look into the field of machine learning in healthcare!
May 28, 2024
A new paper entitled "Protein-Protein Interfaces: A Graph Neural Network Approach" in collaboration with N. Pancino, F. Romagnoli, P. Bongini and M. Bianchini has been published in Neurocomputing. For more details, check it out! [link]
March 15, 2024 (Siena, Italy)
I was awarded the first prize for my Master's thesis as the best thesis on "Artificial Intelligence and Data Science: emerging technologies between growth and progress".
November 1, 2023 (Siena, Italy)
I started my PhD program in Information Engineering and Science at the University of Siena, under the supervision of prof. Monica Bianchini and prof. Franco Scarselli.