Contacts:

University of Milan, Milan, ITALY

Department of Economics, Management, and Quantitative Methods

email: alessandro[dot]lanteri[at]unimi[dot]it


About me

I'm currently a Postdoctoral Fellow at University of Milan, working with Chiara Tommasi at the Department of Economics, Management, and Quantitative Methods. I'm also a member of the "de Castro" Statistics Initiative of the Collegio Carlo Alberto.

Previously, I was a Postdoctoral Fellow at University of Turin, working with Raffaele Argiento, at Johns Hopkins University working with Mauro Maggioni at the department of Applied Math and Statistics and before that I was a Visiting Assistant Professor at Duke University at the Math department.

I have obtained my PhD in Statistics at the UniversitĂ  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 and Regression on Ridge functions. I'm also working on Bayesian inference and in its applications.