I received a B.Sc. (2009) and M.Sc. (2011) in Mathematics from Università degli Studi di Milano. In 2016 I obtained a Ph.D. in Mathematical Models and Methods in Engineering from Politecnico di Milano, with a thesis titled Statistical methods for omics data (Advisor: Piercesare Secchi; Co-advisors: Laura M. Sangalli and Simone Vantini). In 2016 I joined the Department of Statistics of the Pennsylvania State University, working as Postdoctoral Researcher with Francesca Chiaromonte and Kateryna D. Makova, and from 2017 as Bruce Lindsay Visiting Assistant Professor.

Currently, I am the Chairholder of the Research Chair in Statistical Learning and an Associate Professor in the Department of Operations and Decision Systems at Université Laval, and I am affiliated with the Department of Statistics of the Pennsylvania State University and the CHU de Québec – Université Laval research center (Population health and optimal health practices axis).

I am also a member of the Institute Intelligence and Data and the Big Data Research Center of Université Laval, the Center for medical genomics of the Pennsylvania State University, and of CIRRELT (Interuniversity Research Centre on Enterprise, Networks, Logistics and Transportation).

Research interests

I develop statistical learning and computational techniques for the analysis of large, high-dimensional and complex data – in particular functional data. An important aspect of my research is its collaborative and multidisciplinary nature. Indeed, much of my work is at the interface between statistics and computational biology, while my main application areas are in the biomedical and social sciences.

You can download my CV here.

Check out our new papers on motif discovery in functional data though FunBIalign (and its amplitude-invariant version), on smoothEM for smooth curves with spikes, on functional data analysis of COVID-19, and on AI/ML for blood glucose prediction in people living with type-1 diabetes!