My name is Pietro, and I have a PhD in physics, but my current main research interest is statistics, with a focus on statistical learning techniques.

In my daily job, I am a researcher in the Institut de recherche en mathématique et physique of Université catholique de Louvain, where I work as a particle physicist within the CMS experiment. Previously I have worked as a postdoctoral researcher un Universidad de Oviedo, and I am the delegated Oviedo node PI for the AdvancedMVA4NewPhysics ITN network (you can find me blogging there as well, by the way). I am active in Standard Model (ttH search, WZ cross section, ttbar cross section) and BSM physics (2HDM in the Higgs sector, and SUSY in top sector).

Drawing from my experiences in CMS data analysis, however, I grew fond of statistical techniques, both on the matter of their foundations and on the field of statistical learning. As a consequence, my research focus began to shift from the same usual physics to these more interesting, fundamental, methodological topics. I joined the CMS Statistics Committee, where I found a rich landscape of interesting use cases and a fertile field for discussion. However, there is a specific area of statistics that is rarely applied or discussed in HEP: Bayesian statistics. I felt this is really a pity, so I started roaming extensively this exciting area.

I hope to be able, in this blog, to spark in you some interest for statistical learning and for Bayesian statistics, or at least to give you a good time in reading my random thoughts about these topics.

If you are interested, you can find a list of my publications by following the ORCID link in the header of this page: I will set up soon in this page, below, a list of my main publications (you know, the usual issue of a HEP collaboration member having hundreds of paper in her name, etc).