November 2025: Invited as a speaker at TEDx Geneva to talk about how AI can help us fight corruption.
October 2025: Pre-print out: 'CrisiText: A dataset of warning messages for LLM training in emergency communication'.
September 2025: Co-authored paper 'Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales' published in the Journal of Quantitative Criminology.
October 2024: Pre-print out: 'I want to break free! Persuasion and anti-social behavior of LLMs in multi-agent settings with social hierarchy'.
August 2024: Won the 2024 Early Career Award from the European Society of Criminology.
August 2024: New working paper out with Gianmarco Daniele and Marco Le Moglie: 'Mafia, Politics and Machine Predictions'.
March 2024: Solo paper 'Homicides involving Black victims are less likely to be cleared in the United States' published in Criminology.
November 2023: Co-authored paper 'Organized Crime, Violence and Support for the State' published in the Journal of Public Economics.
September 2023: Co-authored paper 'Reducing cartel recruitment is the only way to lower violence in Mexico' published in Science.
June 2023: Co-authored paper 'Evidence on the impact of the Prudential Center on crime in downtown Newark' published in the Journal of Experimental Criminology.
Research Experience
Postdoctoral Research Fellow in Computational Sociology at the University of Trento from 2020 to 2023, funded by the Department of Excellence initiative of the Italian Ministry of University and Research. Former researcher at Transcrime and former visiting research scholar at Carnegie Mellon University (Institute for Software Research - Center for Computational Analysis of Social and Organizational Systems), under the supervision of Prof. Kathleen M. Carley.
Education
Obtained a Ph.D. in Criminology at Università Cattolica del Sacro Cuore (Milan) in February 2020.
Background
Interested in crime and computational sciences. Research Scientist in the MobS Lab at Fondazione Bruno Kessler, in Italy.