I am an Assistant Professor in the School of Statistics at the University of Minnesota. In August 2018 I completed my doctoral studies at Imperial College London (London, UK). I obtained my Bachelor's degree and my first Master's degree from the University of Milano-Bicocca (Milan, Italy). I further pursued a second Master's degree at Texas A&M University (College Station, TX). During both my Master degrees and Ph.D., I had the opportunity to visit several academic institutions including Mount Sinai School of Medicine (New York, NY), MD Anderson Cancer Center (Houston, TX), The Oskar Klein Centre for Cosmoparticle Physics (Stockholm, Sweden) and the Harvard-Smithsonian Center for Astrophysics (Cambridge, MA).
My research interests mainly lie in astrostatistics, computational statistics, and large-scale inference. The main purpose of my work is to provide highly generalizable statistical solutions that directly address fundamental scientific questions, and can at the same time be easily applied to any other scientific problem following a similar statistical paradigm. In line with this, motivated by the problem of the detection of particle dark matter, my current research focuses on hypothesis testing methods for the detection of multiple signals, structural change detection and model selection, under stringent significance requirements. I am also interested in uncertainty quantification in the context of astrophysical discoveries.
Here is my CV.