About

I obtained a PhD in Network and Data Science from Central European University, graduating with a dissertation entitled “Structure and Dynamics of Mobility Segregation and Spatial Diversity in Cities.” Currently, I am affiliated with the Computational Social Science Group at the ELTE Centre for Social Sciences through the Marie Skłodowska-Curie Actions (MSCA) under the project “Designing the Hybrid Digital Twin of Society to Model Urban Dynamics,” funded by the European Union’s Horizon Europe programme, and with the Informatics Institute at the University of Amsterdam. My scholarly work is therefore grounded in an interdisciplinary framework that integrates network and data science, computational social science, and urban complex systems. I also hold the Dutch University Teaching Qualification (Basiskwalificatie Onderwijs, BKO), which certifies that a university lecturer masters the essential didactic skills: designing courses, teaching, supervising students, and creating exams.

Central to my research agenda is the development of Artificial Intelligence (AI) methodologies to investigate artificial societies within digital twin environments, particularly in the context of segregation, polarization, and inequality. This approach enables the analysis 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.