In February 2022, he obtained a PhD in Methodological Statistics from Sapienza University of Rome with a thesis on quantile regression models for the analysis of multivariate data.
He actively collaborates with national and international research groups, including the Harvard T.H. Chan School of Public Health, the University of Southampton, and the University of Pisa.
He has delivered seminars and workshops for Master's and PhD programmes at the Faculty of Economics of Sapienza University of Rome.
From 2022 to 2024, he was a fixed-term researcher at the European University of Rome, where he taught courses in Machine Learning and Data Analytics and Statistics. He is currently Associate Professor of Statistics at Link Campus University.
His research interests include quantile regression models, multivariate quantiles, latent variable models, and finite mixture models, with applications to longitudinal data and time series.
Curriculum VitaeOFFICE HOURS
The professor is available to receive the students at the end of the lessons. However, the students may also request an appointment by email.