Elena Stanghellini

Expert in graphical models and causal inference

Elena Stanghellini

Role

Full Professor of Statistics at the University of Perugia

Bio

A graduate in Economics and Commerce from the University of Florence (1991) and a PhD in Applied Statistics (1995), she completed her studies at the Open University in the United Kingdom and then became a full professor at the University of Perugia in 2005. For the University of Perugia, she was the Rector's Delegate for International Relations and PhD coordinator, also holding the role of Affiliated Professor at Umeå University in Sweden. She has been a consultant for the World Bank, the Italian Treasury, IFAD and IRPET and a Visiting Professor at the London School of Economics and Political Science .

His research focuses on the development of statistical tools for multivariate data, the extension of graphical Markov models , and causal inference methodologies. In the fields of economics and finance, he focuses on credit scoring and models for predicting the insolvency of small and medium-sized enterprises (SMEs) , also analyzing the relationship between corporate solvency and corporate social responsibility.

In the medical and healthcare fields, she develops models for individual data in the biomedical and epidemiological fields , contributing to the estimation of treatment effectiveness. In 2020, she was part of the ISTAT Advisory Committee for the COVID-19 seroprevalence survey. An Elected Member of the International Statistical Institute , a Jemolo Fellow at Oxford University , and a member of the Editorial Board of Statistical Papers , she is the author of the Springer monograph on Credit Scoring and numerous international publications in Biometrika , the American Journal of Epidemiology , and Biometrics .