Talks & Conferences
Conference and Workshop Organization
2025
Member of the organizing committee, SDS 2025 – Statistics and Data Science Conference
https://sds2025.sis-statistica.it/
2024
Member of the organizing committee, Workshop Math for Health – Department of Mathematics, Politecnico di Milano
https://www.mate.polimi.it/events/M4H24/
Member of the organizing and scientific committee, Workshop “Gender Balance in Accademia: Sfide e Strategie” – Politecnico di Milano
2018 – 2017
Member of the scientific and organizing committee, StaTalk2018@Polimi, Politecnico di Milano
https://statalk2018polimi.github.io/
Member of the scientific and organizing committee, Young CLADAG – Satellite event of CLADAG Conference 2017, Politecnico di Milano
https://cladag2017.unimib.it/youngcladag-2/
Invited Seminars
2024 – 2023
Department of Management, Economics and Industrial Engineering, Politecnico di Milano (IT) –
“A two-levels clustering tool to evaluate student-specific education production function.”
Department of Economics, Università di Modena e Reggio Emilia (IT) –
“Tree-based mixed-effects models for the assessment of education systems.”
2020 – 2017
MOX, Department of Mathematics, Politecnico di Milano (IT) –
“Semiparametric multinomial mixed-effects models: a university students profiling tool.”
Huddersfield Business School, University of Huddersfield (UK) –
“Regression trees in education: explaining the added value of Hungarian schools in a flexible way.”
2015
School of Business and Economics, Maastricht University (NL) –
“Bivariate Multilevel Models for the Analysis of Reading and Maths Pupils’ Achievements.”
Invited Talks at Conferences
2025
CFE-CM Statistics 2025 — “A novel cluster-weighted multilevel model for two-levels clustering”, London (UK).
2021 – 2020
XLV Annual Meeting of the Italian Association for Mathematics Applied to Economic and Social Sciences (AMASES) – Online
“Semiparametric multinomial multilevel models for predicting higher education dropout.”
31st European Conference on Operational Research, Athens (EL) –
“Profiling university students through an innovative semiparametric mixed-effects multinomial model.”
ERCIM 2020 – CMStatistics 2020, London (UK, online) –
“Semiparametric multinomial mixed-effects linear models: An EM algorithm for predicting student dropout.”
2019
CLADAG 2019 – Classification and Data Analysis Group, Cassino (IT) –
“Bivariate semi-parametric mixed-effects models for classifying the effects of Italian classes on multiple student achievements.”
Talks at Conferences
2026
Lisbon Economics and Statistics of Education (LESE) 2026 — Exploring Hidden Patterns in Education via a Two-Levels Cluster-Weighted Mode, Lisbon (PT).
2024
Workshop on Efficiency in Education, Health and Other Public Services — A two-levels clustering tool to evaluate student-specific country effect on education, Milano (IT).
Italian Statistical Society (SIS) Conference 2024 — Model-based clustering of nested lifetime data: profiling COVID-19 heart failure patients, Bari (IT).
LESE — Lisbon Economics and Statistics of Education — Time-Varying Shared Frailty Cox Models for the Analysis of University Students Dropout, Lisbon (PT).
2023
Italian Statistical Society (SIS) Conference 2023 — Joint modelling of hospitalizations and survival in Heart Failure patients: a discrete non-parametric frailty approach, Ancona (IT).
8th LEER Conference on Education Economics — Modelling time-to-dropout via Shared Frailty Cox Models: a trade-off between accurate and early predictions, Leuven (BE).
2022
IFCS 2022 — Classification and Data Science in the Digital Age — Multinomial multilevel models with discrete random effects: a multivariate clustering tool, Oporto (PT).
Italian Statistical Society (SIS) Conference 2022 — Modelling time to university dropout by means of time-dependent frailty Cox models, Caserta (IT).
END — Education and New Developments 2022 — Survival models for predicting student dropout at university across time, Madeira (PT).
LESE — Lisbon Economics and Statistics of Education — Time-dependent frailty Cox models for predicting student dropout at university, Lisbon (PT).
2021
Italian Statistical Society (SIS) Conference 2021 — Multinomial semiparametric mixed-effects model for profiling engineering university students, Online – Pisa (IT).
2019
7th International Workshop on Efficiency in Education, Health and Other Public Services — Performing Learning Analytics via Generalized Mixed-Effects Trees, Barcelona (SP).
European Meeting of Statisticians (EMS) 2019 — Evaluating class effects on joint achievements: a bivariate semiparametric mixed-effects model, Palermo (IT).
Italian Statistical Society (SIS) Conference 2019 — Classification of Italian classes via bivariate semiparametric multilevel models, Milan (IT).
Workshop on Efficiency in Education — Analysis of university students dropout via Generalized Mixed-Effects Trees, Leuven (BE).
LESE — 5th Lisbon Research Workshop on Economics, Statistics and Econometrics of Education — Performing Learning Analytics via Generalized Mixed-Effects Trees, Lisbon (PT).
2018
International Conference on Education Economics — Bivariate semiparametric mixed-effects models for classification of Italian classes, Budapest (HU).
Workshop on Efficiency in Education, Health and Other Public Services — EM algorithm for non parametric mixed-effects models. An application to INVALSI data for unsupervised classification of schools, Huddersfield (UK).
Italian Statistical Society (SIS) Conference 2018 — Unsupervised clustering of Italian schools via non-parametric multilevel models, Palermo (IT).
ISNPS Conference 2018 — EM algorithm for non-parametric mixed-effects models. An application to INVALSI data for unsupervised classification of schools, Salerno (IT).
Workshop on Efficiency in Education — Non-parametric mixed-effects model for unsupervised classification of Italian schools, Leuven (BE).
2017
II seminario “I dati INVALSI: uno strumento per la ricerca” — Bivariate multilevel models for the analysis of pupils’ achievements, Firenze (IT).
Workshop on Efficiency in Education — Using Machine Learning to Model Interaction Effects in Education: a Graphical Approach, Budapest (HU).
CLADAG 2017 – Classification and Data Analysis Group — Non-parametric mixed-effects model for unsupervised classification in the Italian education system, Milan (IT).
Italian Statistical Society (SIS) Conference 2017 — Student and school performance in the OECD — a Machine Learning approach, Florence (IT).
LEER Workshop on Education Economics — A flexible analysis of PISA 2015 data across countries, by means of Multilevel Trees and Boosting, Leuven (BE).
Fourth Lisbon Research Workshop on Economics, Statistics and Econometrics of Education — Explaining school value-added in a flexible way: an application of regression trees, Lisbon (PT).
2016
Workshop on Efficiency in Education — Seeing the forest for the trees: explaining the added value of schools using a flexible approach, Milan (IT).
Italian Statistical Society (SIS) Conference 2016 — Analysis of pupils’ INVALSI achievements by means of bivariate multilevel models, Salerno (IT).
2015
Workshop on Efficiency in Education — The influence of school size and school managerial practices on students’ performances: an efficiency analysis, Leuven (BE).
LECCEWEPA 2015 — Workshop on the Econometrics and Statistics of Efficiency Analysis — Bivariate multilevel models for the analysis of mathematics and reading pupils’ achievements, Lecce (IT).