Teaching

I believe teaching goes far beyond lecturing. Whatever the level and topic, teaching is certainly grounded in transferring scientific knowledge, but also includes donating my personal time and passion (or, at least, trying to do so), and, maybe most of all, making my best effort to allow students to express their abilities and capabilities at their best. It’s more of a journey to make based on a strong commitment than a task to accomplish.

Superivsion

Past PhD students I supervised:

• Maria Fernanda Pintado Serrano (co-supervised with Alexander Shestopaloff and Luca Rossini) with a thesis on “Bayesian Reduced Rank Regression models” (2022-2025). Currently at CUNEF University in Madrid.

Teaching

I taught different courses at the Bachelor, Master, and PhD level at Italian and UK Universities:

Luiss University of Rome

PhD

• Frontiers in Statistical Sciences, for the PhD in Data Science (A.Y. 2026/27)
• Bayesian Learning for Complex Data and Dynamic Systems, for the PhD in Data Science (A.Y. 2026/27)
• Advanced Time Series, for the PhD in Economics (A.Y. 2026/27)
• Advanced Econometrics, for the PhD in Economics (A.Y. 2026/27; 2025/26)

  Bachelor

• Applied Statistics and Econometrics, for the Bachelor in Economics and Business (A.Y. 2026/27; 2025/26)
• Data Analysis for Business, for the Bachelor in Business Administration (A.Y. 2026/27)
• Data Analysis for Business, for the Bachelor in Management and Artificial Intelligence (A.Y. 2025/26)
• Statistics, for the Bachelor in Politics, Philosophy, and Economics (A.Y. 2024/25)
• Introductory Econometrics for Management, for the PhD in Management (A.Y. 2024/25)

Universität Klagenfurt

• Advanced Bayesian Econometrics, for MSc and PhD in Statistics (A.Y. 2025/26)

SIdE, the Italian Econometric Society

• Network Econometrics, SiDE Summer School taught in Venice (Y. 2026-2025-2024-2023-2022-2021)

Queen Mary University of London

• Computational Statistics with R, for the Master in Mathematics (A.Y. 2023/24; 2022/23)
• Time Series Analysis for Business, for the Master in Data Analytics (A.Y. 2023/24)

Ca’ Foscari University of Venice

• Mathematics basics, Master course (A.Y. 2019/20; 2018/19)
• Optimization (Tutor), Master and PhD course (A.Y. 2018/19; 2017/18; 2015/16)
• Introduction to trigonometry, Undergraduate course (A.Y. 2017/18)
• Mathematics for economics (Teaching Assistant), Undergraduate course (A.Y. 2017/18)
• Statistics (Teaching Assistant), Undergraduate course (A.Y. 2017/18)
• Econometrics (Teaching Assistant), Undergraduate course (A.Y. 2015/16)