My scholarly work is grounded in an interdisciplinary framework that integrates Network and Data Science, Computational Social Science, and Urban Complex Systems. Central to my research agenda is the development of Artificial Intelligence (AI) methodologies for the systematic investigation of artificial societies within digital twin environments. This approach enables the study of multiscale socio-behavioral processes, including individual mobility patterns, social interaction structures, collective dynamics, and their interdependencies with the built environment.

To uncover the mechanisms that shape human behavior and societal outcomes, I draw extensively on heterogeneous and non-traditional data sources such as microdata, digital traces, Call Detail Records (CDR), Global Positioning System (GPS) data, social media content, and satellite imagery. By integrating these diverse modalities through advanced computational, statistical, and data-fusion techniques, I explore high-resolution modeling frameworks capable of representing complex socio-spatial phenomena with analytical rigor.