Iacopo is a PhD Student in Mathematics at Queen Mary University of London, where he works within the Complex Systems and Networks Research Group, supervised by Vito Latora and Elsa Arcaute (Centre for Advanced Spatial Analysis, UCL). He is also collaborating with the Dynamical Systems and Statistical Physics Research Group, as part of the LoBaNet project. He spent last year at The Alan Turing Institute, the UK national institute for Data Science and Artificial Intelligence, as part of the enrichment doctoral scheme.
Previously, he worked at the ISI Foundation in Turin within the Data Science and Mathematics & Foundation of Complex Systems groups. Before, he was Data Science Intern at UN Universal Postal Union in Bern.
Iacopo's research interests include Complex Networks and Data Science, with a particular focus on spatial and social networks and their application to the study of human behaviour. He is also working on innovation dynamics, reinforced random walks, social contagion, and adoption processes.
- Iacopini, I. Petri, G., Barrat, A., & Latora, V. (2018).
Simplicial models of social contagion.
arXiv preprint arXiv:1810.07031
- Iacopini, I., Milojević, S., & Latora, V. (2018).
Network dynamics of innovation processes.
Physical review letters, 120(4), 048301.