About me

I'm currently an Assistant Professor (RTDA) at University of Turin , department of Economics and Statistics "Cognetti de Martiis".

Previously,  I was a Postdoctoral Fellow at University of Milan, working with Chiara Tommasi at the Department of Economics, Management, and Quantitative Methods. I've been a member of the "de Castro" Statistics Initiative of the Collegio Carlo Alberto , a Postdoctoral Fellow at University of Turin at the ESOMAS department and at Johns Hopkins University, working with Mauro Maggioni. at the department of Applied Math and Statistics. Before that, I've been a Visiting Assistant Professor at Duke University at the Math department.

I have obtained my PhD in Statistics at the Università di Roma "La Sapienza" under the supervision of Pierpaolo Brutti.

Some of my research interests revolve around the Big Data challenge. My goal is to develop fast and theoretically rigorous machine learning techniques, aimed to tackle the curse of dimensionality, such as Manifold Learning, Subspace Clustering, Single and Multi-index models. I'm interested in Bayesian non-parametric techniques  and in Optimal Design.