Research
In contemporary science, I find statistics to be an essential tool to understand phenomena, and to draw reliable conclusions. I am broadly interested in the analysis of large and complex data, with particular emphasis on structured objects such as functional data and networks. I am also involved in projects at the intersection of computer science, optimization, and statistical learning, where computational feasibility and inferential stability play crucial roles.
Ongoing projects
Currently, I am taking classes as core requirements of my Ph.D. at CMU. I am trying to work on the following research projects in some of my spare time:
Functional Feature Selection, jointly with Tobia Boschi, Francesca Chiaromonte and Matthew Reimherr. This is a poster on
FAStEN, an efficient algorithm for feature selection and coefficient estimation in functional regression models. The preprint is available hereThe Climate Repository Project, together with Marco Gortan, Giorgio Fagiolo and Francesco Lamperti. The preprint is available here
COVID-19 Project, a joint work with Tobia Boschi, Jacopo Di Iorio, Francesca Chiaromonte and Marzia A. Cremona. Results of our first paper appeared in the news [1], [2, Italian], [3, Italian], and as a SciPod’s audio book. A second paper is now available as a preprint here!
Previous projects
I have also been involved in a project on the analysis of the determinants of success of start-ups financing through venture capitals. Results, which were obtained and validated with a combination of network, functional data and multivariate analysis tools, were published here (as a journal article) and here (as a conference proceeding). This is a very short and informal presentation of the results (in Italian).
You can find my publication list in my CV and on my Google Scholar profile.