Alessandro Casa

Associate Professor of Statistics
Free University of Bozen-Bolzano

I am an Associate Professor of Statistics at the Faculty of Economics and Management, Free University of Bozen-Bolzano (Italy).

My research focuses on developing flexible statistical methodologies for modeling high-dimensional and complex structured data, arising in diverse applications. I am particularly interested in latent variable models and the density-based formulation of the clustering problem, including model-based and modal clustering techniques. I also work on the methodological challenges posed by specific data types such as spectroscopic data. My interests include graphical models, variable selection and dimensionality reduction, inferential procedures in high-dimensional settings, computational statistics, and applications in chemometrics.

My full CV is available here.

News

[12 | 2025] The paper Addressing Phase Discrepancies in Functional Data: A Bayesian Approach for Accurate Alignment and Smoothing, co-authored with Jacopo Gardella, Alessia Pini and Raffaele Argiento, has been accepted for publication in the Annals of Applied Statistics (preprint available at https://arxiv.org/pdf/2506.14650).

[12 | 2025] Our preprint A latent variable model for identifying and characterizing food adulteration, co-authored with Brendan Murphy and Michael Fop, has been added on arXiv (available at https://arxiv.org/abs/2512.13939).

[12 | 2025] The paper High-dimensional covariance estimation by pairwise likelihood truncation, co-authored with Davide Ferrari and Zhendong Huang, has been accepted for publication in Biometrika (available at https://doi.org/10.1093/biomet/asaf087).

[09 | 2025] Scientific Board Member of CLADAG (Classification and Data Analysis Group of the Italian Statistical Society) for the next two years.