I am a Research Associate/Leverhulme Early Career Fellow in the Department of Political Economy at King’s College London. Previously, I worked as Research Fellow in the Department of Social and Political Sciences at the University of Exeter.
I am particularly interested in methodologies like quantitative text analysis, machine learning algorithms and item response approaches, and I use them to study policy-making processes, the responsiveness of technocratic bodies and of the EU institutions. My current project is about decision-making in the European Council. I use, among other methods, quantitative text analysis to examine the agenda, policy positions, and narratives of both national leaders and the European Council as a whole.
I obtained my PhD in Political Science from the King’s College London. I am also member of the European Political Science Society (EPSS), the Political Science Association of the United Kingdom (PSA), the Italian Political Science Association (SISP), and of the Quantitative and Computational Text Analysis Association (COMPTEXT).
PhD in Political Science, 2022
King's College, London
MSc in Public Administrations, 2016
Bocconi University, Milan
MA in European Affairs, 2016
SciencesPo, Paris
BA in Political Science, 2014
University of Naples
This project presents an easy to use R function to automatically download key data and textual information on EU laws from the European Parliament’s Legislative Observatory and EUR-Lex websites.
The dataset contains a corpus of 1,390 speeches of Bank of England officials delivered between 1997 and 2025, manually annotated with numerous covariates.
This online survey assessed the research challenges, training needs and preferences of researchers and practitioners (of all seniority and skills level) that use or are interested in using text analysis techniques in their research. The survey has been conducted within the context of the Horizon 2020 OPTED project.
Course convenor
Teaching assistant
Dissertation supervisor