Matteo Chinazzi is a Senior Research Scientist at the Laboratory for the Modeling of Biological and Socio-Technical Systems (MOBS Lab). He holds a PhD in Economics from Sant’Anna School of Advanced Studies (Pisa, Italy) and his work focuses primarily on improving the modeling of socio-technical-economic systems by leveraging large-scale, data-driven, behaviorally informed, analytical and computational frameworks to assist policy and decision making in a variety of public and private contexts. His research interests include: a) the development of computational and analytical models to study and forecast the spatial spread of infectious diseases; b) the development of agent-based models to create realistic representations of population dynamics; c) the study of human mobility and contact patterns using high-resolution large-scale de-identified location data; d) the development of computational frameworks that combine mechanistic epidemic models with machine learning/deep learning approaches; and e) the study of the evolution and structure of science and innovation.