2024 – Present | Department of Economics, University of Modena and Reggio Emilia, Italy
Analysis of ecological data using model-based clustering
Research on variance-partitioning priors for hierarchical Bayesian models
Lecturer
2025 – Present | Department of Communication and Economics, University of Modena and Reggio Emilia, Italy
Course: GLM statistical models
Teaching Assistant
2022 – Present | Department of Statistical Sciences, University of Bologna, Italy
Supported undergraduate statistics courses via practice sessions and labs in R.
Ran intensive crash courses to introductory statistics and coding.
Education
PhD in Statistical Sciences
University of Bologna, Italy – 2021-2025
MSc in Data Science
University College London, UK – 2020-2021
BSc in Economics and Management
University of Milan, Italy – 2017-2020
Publications
Ferrari, L., & Ventrucci, M. (2025). A standardization procedure to incorporate variance partitioning‐based priors in latent Gaussian models.
Scandinavian Journal of Statistics, 53(1), 364-394.
R package: scaleGMRF
Ferrari, L., Manzi, G., Micheletti, A., Nicolussi, F., & Salini, S. (2024). Pandemic data quality modelling: a Bayesian approach in the Italian case.
Quality & Quantity, 1-23.
Ferrari, L., & Ventrucci, M. (2024). Variance partitioning-based priors for species distribution models.
Proceedings of the 38th International Workshop on Statistical Modelling (pp. 116-121).
Ferrari, L., Ventrucci, M., & Alex, L. (2023). Application of the hierarchical variance decomposition approach to an ecological case study with mixed effects.
Proceedings of the GRASPA 2023 Conference (pp. 1-6).
Ferrari, L., Gerardi, G., Manzi, G., Micheletti, A., Nicolussi, F., Biganzoli, E., & Salini, S. (2021). Modeling provincial COVID-19 epidemic data using an adjusted time-dependent SIRD model.
International Journal of Environmental Research and Public Health, 18(12), 6563.
Conference Participation
Poster contribution (winner) at GRASPA 2025 - Rome, Italy
Invited talk at CLADAG 2025 - Naples, Italy
Poster contribution at IWSM 2025 - Limerick, Ireland
Contributed talk at INLA Workshop 2025 - Glasgow, UK
Invited talk at SDS 2025 - Milan, Italy
Invited talk at CFE-CMStatistics 2024 - King’s College London, UK
Contributed talk at IWSM 2024 - Durham, UK
Poster at ISBA 2024 - Venezia, Italy
Invited talk at META2 WORKSHOP - Rimini, Italy
Poster contribution at StaTalk 2024 - Firenze, Italy
Invited talk at CMStatistics 2023 - Berlin, Germany
Poster contribution at GRASPA 2023 - Palermo, Italy
Further Activities
Visiting period at Brigham Young University, US
Sep. - Dec. 2023. Supervisor: Prof. Garritt Page
ABS Summer School: Bayesian Causal Inference
11-16 June 2023, DISIA, University of Firenze, Italy
