Welcome to my personal web page!

I’m a Postdoctoral Associate in Statistics at the Department of Mathematics, University of Maryland, College Park, mentored by Lizhen Lin. Previously, I was a Robert and Sara Lumpkins Postdoctoral Fellow in Statistics at the Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, with the same mentor. I’m an external affiliate of the Bayesian Learning Laboratory, a research unit of the Bocconi Institute for Data Science and Analytics (BIDSA).

My research interests include topics in Bayesian nonparametrics and network data analysis. I am currently working on random partitions and permutations for dynamic and multilayer networks, in the context of node clustering, edge prediction and graph matching. I am interested in studying generalized notions of exchangebility that suitably match the structure of specific complex networks. I am also working on posterior consistency for stochastic block models.

I received my Ph.D. in Statistics at Bocconi University, advised by Antonio Lijoi and Igor Prünster.

Previously, I’ve obtained a bachelor and a master in Mathematics, focused on probability theory and functional analysis, both at Università di Roma Tor Vergata. My master thesis was about functional data analysis in the space of square-integrable functions on the sphere, supervised by Domenico Marinucci.

I had music education at Conservatorio Licinio Refice in Frosinone. I play clarinet and bass clarinet.

Research Interests

• Linear functionals of Bayesian nonparametric priors
• Modelling complex network structures with generalized exchangeability
• Bayesian graph matching
• Posterior consistency in stochastic block models with unknown number of blocks