Member of the Selection Committee for the Candidates to the XXXVI Cycle of the Ph.D. School of Economics and Statistics - ECOSTAT , Univ. Milano Bicocca.
Vice Coordinator of the Ph.D. School in Statistics and Mathematical Finance (XXXIII Cycle)
Member of the PhD School Board of the University of Milano-Bicocca (since 2017).
Member of the Scientific Committee of the Ph.D. School of Economics and Statistics - ECOSTAT (since 2018).
Member of the Scientific Committee of the Ph.D. School of Statistics and Mathematics for Finance (since 2011).
Member of the Selection Committee for the Candidates to the XXXII Cycle of the Ph.D. School of Statistics and Mathematics for Finance, Univ. Milano Bicocca.
Member of the Selection Committee for the Candidates to the XXXI Cycle the Ph.D. School of Statistics and Mathematics for Finance, Univ. Milano Bicocca.
2025-present, Lorenzo Benzakour, Research project: Applications of Statistical Models to Datasets with Outliers or Missing Data.
2022-present, Giorgia Zaccaria, Post-Doc project: Advances in robust learning from multidimensional and complex data, and their applications.
2022-present, Tamara Vasiljev, Ph.D. thesis: Robust IRT modelling.
2020-2021, Andrea Cappozzo, Post-Doc project: Robust adaptive model-based semi-supervised classification: advances in learning from shifted data.
2019-2023, Fabio Piacenza, Ph.D. thesis: Holistic Approach to Operational Risk: Issues, Solutions, and Decision Making.
2018-2022, Anna Comotti, Ph.D. thesis: Assessing psychometric scales through IRT-based modelling, with applications to Covid-19 data.
2017-2020, Andrea Cappozzo, Ph.D. thesis: Robust model-based classification and clustering: advances in learning from contaminated datasets.
2015, Ankit Jain, internship student from IIT Kanpur (India), Research project: An R package for the Zenga inequality measure.
2014, Anu Khandwal, internship student from IIT Kanpur (India), Research project: Measuring inequality in U.S. cities at the time of the great divergence.
2006-2009, Cinzia D'Ariano, Ph.D. thesis: Inferential approaches to a new inequality measure.
2003-2006, Leo Pasquazzi, Ph.D. thesis: Asymptotic and Non-Parametric Confidence Intervals for the Gini's inequality measure.
Statistical Modelling (years 2018- now)
Statistical Inference (years 2013-2017)
Random variables and their transformations (years 2009-2012)
Mixture Models in R (PhD lectures in Computational Statistics), organized by the University Consortium Nova Universitas at Macerata University
Computational Statistics (years 2003-2008)