Alessandro Casa

Alessandro Casa is an Associate Professor of Statistics at the Faculty of Economics and Management, Free University of Bozen-Bolzano (Italy). His research focuses on developing statistical methodologies for high-dimensional and complex data, including latent variable models, density-based clustering, and applications in spectroscopy. He holds a PhD in Statistics from the University of Padova (2016-2020), preceded by master's and bachelor's degrees in Statistical Sciences and Statistics, Economics, and Finance, both from the University of Padova.

Education:

• PhD in Statistics, University of Padova (2016-2020)
• Master Degree in Statistical Sciences, University of Padova (2014-2016)
• Bachelor Degree in Statistics, Economics, and Finance, University of Padova (2011-2014)

Research Interests: Mixture models, modal clustering, graphical models, variable selection, latent variable modeling, high-dimensional data inference, computational statistics, and chemometrics. His work often addresses challenges in spectroscopic data analysis and applications in agriculture and physics.

Teaching:

• Statistical Methods for Business Analysis (MSc programs)
• Research Methods and Experimental Design (Tourism Management)
• Statistics for Tourism, Sport, and Event Management (BSc)

Professional Experience:

• Associate Professor (2024–Present), Free University of Bozen-Bolzano
• Senior Assistant Professor (2024), University of Bergamo
• Postdoctoral Research Fellow (2019–2021), University College Dublin

Labs/Teams: Collaborations with Vistamilk SFI Research Centre and Insight SFI Research Center during his postdoctoral tenure. Active in model-based clustering research communities, contributing to conferences and workshops globally.