I am a social scientist, a seasoned R developer and trainer. My main research interests focus on (the dynamics of) social networks and mathematical/computational social science as tools for understanding conflict and cooperation. I am a researcher at the COALESCE Lab at the Department of Social and Cultural Anthropology of the Universitat Autònoma de Barcelona, participating in the Patchwork project where I apply my research interests to understand how cohesion and segregation emerge from networks in European societies. I am also an Assistant professor at the Chair of Quantitative Methods and Information Technology, Kozminski University in Warsaw. I am busy expressing professional love and passion towards:
- Statistical modeling of networks with ERGMs based on “partial” network data such as ego-centric samples or aggregate network data (e.g., collected for the Network Scale-Up Method, a method invented by anthropologist Russ Bernard and his team). These will be extremely handy in addressing research questions posed in the PATCHWORK project, and they are pivotal for understanding social cohesion from a relational perspective.
- Complex network datasets. In particular, assembling them from non-obvious sources in a technically advanced way. Some say it is Digital Humanities. Examples are projects: Mapping Atlantic Portuguese Empire (MAPE), where we explore a vast amount of historical documents to understand how people in the Portuguese colonies communicated with the administration in Portugal over 200 years, showing how non-elite groups shaped the policies in colonial spaces, or "Law in social networks of late antique Aphrodite", which also connects history, archaeology, ethnology, and cultural anthropology in novel ways to study how small communities impacted on law.
- The Statnet Suite. Statnet is a suite of R packages for statistical social network analysis, visualization, and modeling focusing on Exponential-family Random Graph Models. I am a member of the Statnet Development Team since 2022.
- My own R packages, which you can find on my GitHub profile.