Welcome to my webpage!

I am a fourth-year PhD candidate in the Department of Statistics and Data Sciences at the University of Texas at Austin. I am currently pursuing research with professors Stephen G. Walker (as main advisor), Nhat Ho, and Alessandro Rinaldo (as joint co-advisors). My research interests lie at the intersection of statistical theory and methodology, applied probability, and machine learning, including topics such as:

• the foundations of Bayesian asymptotic theory,
• estimation and identifiability in infinite mixture models,
• mixture-of-experts models,
• model- and density-based clustering,
• martingale posterior distributions for large-scale data,
• applications of conformal prediction to Bayesian methodology,
• the geometric analysis of convergence of probability measures,
• the integration of Bayesian principles in large-scale optimization.

Before moving to Austin, I completed my Bachelor’s and Master’s studies at Bocconi University in Milan, Italy. While a visiting student at the Bocconi Institute for Data Science and Analytics under the supervision of professor Igor Prünster, I wrote my MSc thesis on probabilistic and methodological aspects of Bayesian nonparametric statistics. In 2022-23, I was also part of the European Research Grant LOSS Project team, led by professor Catherine De Vries.