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, nonparametric statistics, and large-scale inference. The main purpose of my work is to provide highly generalizable statistical solutions that directly address fundamental questions in the physical sciences, 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 problems arising in high energy physics and astronomy, my current research focuses on statistical inference for signal detection, background estimation, distributed learning, and uncertainty quantification.
Here is my CV.