Laura Ferrini

About Me

I am a PhD student in Statistics at Università degli Studi di Milano-Bicocca, currently working under the supervision of Federico Castelletti. I am interested in the development of Bayesian methods for complex settings, with a particular focus on graphical models and multivariate time-dependent data.

Papers

• Local independence graphs under unknown interventions. L.F., Federico Castelletti. Working paper, 20**.
• Bayesian target discovery from categorical networks. Federico Castelletti, L.F., Stefano Peluso. Submitted, 20**.
• Graphical model-based clustering of categorical data. L.F., Federico Castelletti. Submitted, 20**. arXiv
• Bayesian nonparametric mixtures of categorical directed graphs for personalized causal inference. Federico Castelletti, L.F. Accepted for publication in Biostatistics, 2026. arXiv

CV

Teaching

• Tutoring, Statistical Inference, M.Sc. in Data Analytics for Business, Università Cattolica del Sacro Cuore, A.Y. 2025-2026, 2024-2025.
• Teaching Assistant, Bayesian Modeling, M.Sc. in Data Analytics for Business, Università Cattolica del Sacro Cuore, A.Y. 2023-2024.
• Teaching Assistant, Statistical Modelling, M.Sc. in Economics, Università Cattolica del Sacro Cuore, A.Y. 2023-2024.
• Tutoring for the Master Data Science for Management, A.Y. 2023-2024.

Awards

• Best Poster Award, SIS-Bayes (Italian Statistical Society), September 2025. Poster title: Bayesian target discovery from categorical networks.
• Best Master Thesis (Premio Agostino Tarsitano), 2024, awarded by the Italian Statistical Society. Thesis title: Causal inference from observational studies: a graphical model perspective.
• Scholarship for excellence, awarded by Istituto Toniolo, A.Y. 2022-2023.