CURRENT ACADEMIC POSITIONS
Postdoctoral Research Fellow in Statistics — National Institute for Nuclear Physics (INFN), Ferrara Division, 2026–
Research in statistical methodology for cosmological applications, with particular emphasis on statistical model selection and comparison, model misspecification, covariance modelling, and statistical inference.
Adjunct Professor — University of Bologna, 2026–27
Instructor for Analisi delle Serie Storiche per la Finanza e le Assicurazioni (Time Series Analysis for Finance and Insurance), Rimini Campus. The course covers the analysis, modelling, and forecasting of economic and financial time series.
Lecturing Assistant — University of Bologna, 2026–27
Teaching activities for Statistical Methods for Genomics, focusing on statistical methods for genomic and high-dimensional data.
Lecturing Assistant — Free University of Bozen-Bolzano, 2026–27
Teaching activities for Econometrics for Economics, covering econometric methods, estimation, inference, and empirical applications.
PREVIOUS ACADEMIC POSITIONS
Research Fellow — University of Bologna, 2023–2025
Research in statistics and applied econometrics, with particular emphasis on statistical modelling, longitudinal and panel data, time series, and empirical applications.
Adjunct Professor — Free University of Bozen-Bolzano
Previous university teaching appointments in econometrics and quantitative methods.
Adjunct Professor and other teaching appointments — University of Bologna
Teaching experience in statistics, econometrics, time-series analysis, and quantitative methods for economics and finance.
EDUCATION
PhD in Statistical Sciences — University of Bologna
Doctoral research on multivariate time-series modelling and forecasting, statistical model selection, and finite-sample properties of statistical procedures.
RESEARCH
His research focuses on the development, assessment, and application of statistical methodology.
Main research areas include:
- statistical model selection and comparison;
- inference under model misspecification;
- covariance modelling and estimation;
- multivariate time-series analysis;
- forecasting and predictive evaluation;
- econometrics and dynamic models;
- statistical applications in economics, finance, and cosmology.
His current research at INFN addresses statistical inference and model comparison in cosmological applications, with particular attention to robustness under distributional and covariance misspecification.
TEACHING
He has teaching experience in statistics, econometrics, time-series analysis, and quantitative methods at the University of Bologna and the Free University of Bozen-Bolzano.
Current courses include:
- Analisi delle Serie Storiche per la Finanza e le Assicurazioni — University of Bologna;
- Statistical Methods for Genomics — University of Bologna;
- Econometrics for Economics — Free University of Bozen-Bolzano.
He has also held previous teaching appointments in econometrics, applied statistics, time-series analysis, and quantitative methods.
SUPERVISION AND MENTORING
He has supervised and supported students in theses, research projects, and applied work in statistics, econometrics, and data analysis.
Topics have included forecasting, spatial econometrics, causal inference, microdata analysis, market efficiency, panel-data models, time-series analysis, and statistical applications to economic and financial data.
PROFESSIONAL EXPERIENCE
Before pursuing a full-time academic career, he worked as a Controller, gaining professional experience in economic and financial analysis, management reporting, controlling, and quantitative analysis.
METHODOLOGICAL AND COMPUTATIONAL EXPERTISE
Main areas of expertise include:
- mathematical and applied statistics;
- econometrics;
- time-series analysis;
- forecasting;
- statistical model selection and comparison;
- statistical inference;
- model misspecification;
- covariance modelling;
- longitudinal and panel-data analysis.
He primarily uses R and Python for statistical analysis, simulation, reproducible research, and methodological development.
