I am a second-year Statistics PhD student in the Department of Statistics and Data Sciences at the University of Texas at Austin. My research interests lie at the intersection of mathematical (Bayesian) statistics, applied probability, and machine learning. I am currently completing doctoral-level coursework and pursuing research with professors Nhat Ho, Stephen Walker and Alessandro Rinaldo. For the first and second year of my graduate studies, I am fortunate to be sponsored by the Bank of Italy’s “Giorgio Mortara” scholarship.

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.

Recent News

My paper “Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization” (joint with Nhat Ho) has been accepted at NeurIPS 2024! You can find it on arXiv at the following link.

Ongoing research

1. Bariletto, Nicola, Khai Nguyen, and Nhat Ho. (2024). Borrowing Strength in Distributionally Robust Optimization via Hierarchical Dirichlet Processes. ArXiv preprint arXiv:2405.13160. [pdf]
2. Cremaschi, Simone, Nicola Bariletto, and Catherine E. De Vries (2023). “Without Roots: The Political Consequences of Plant Disease Epidemics.” OSF Preprints. [pdf]