Francesca Marta Lilja Di LascioView profile
Associate Professor
- Copula-based stochastic models
- Clustering techniques for dependent data
- Statistical methods for spatial/time series data
- +5 more
Francesca Marta Lilja Di Lascio is an Associate Professor of Statistics at the Faculty of Economics and Management, Free University of Bozen-Bolzano. Her research focuses on copula-based statistical methods for complex data analysis, including dependence modeling, clustering algorithms, and applications in environmental science, energy economics, and medical statistics. She obtained her PhD in Statistical Methodology for Scientific Research from the University of Bologna (2008) and holds a National Scientific Qualification for Full Professor (2023-2034). Her academic roles include Vice-director of the Bachelor in Economics and Social Sciences, Coordinator of the BEMPS working paper series, and member of the Quality Committee. She has organized over 20 international conferences and workshops on statistical methods and data science, including the 2022 Workshop on Statistical Learning and Econometrics. Research interests span copula-based clustering, spatial-temporal modeling, and imputation techniques for missing data. She has secured grants totaling over €3.5M, including the €2M 'Agritech National Research Center' (PNRR funded) and the €182k 'Techno-economic methodologies for sustainable energy scenarios' project. She develops statistical software packages like CoClust (copula-based clustering) and PanelTM (dynamic threshold models). Teaching includes graduate courses on multivariate statistical methods and PhD-level quantitative research methods. She has published 40+ peer-reviewed articles in journals like Risk Analysis , Computational Statistics & Data Analysis , and Environmental and Ecological Statistics . Key Awards: Full Professor Qualification (2023), Associate Professor Qualification (2017) Recent Projects: EXTReme Events in Mountain Environments (€120k), Detecting Effects of Experimental Therapies (€82k) Professional Memberships: Italian Statistical Society (SIS), International Biometric Society (IBS), International Statistical Institute (ISI)












