About

I’m a computational sociologist, Assistant Professor, and a seasoned R developer and trainer. My main research interests focus on (dynamics of) social networks and mathematical/computational social science as tools for understanding conflict and cooperation. I am an Assistant professor at the Chair of Quantitative Methods and Information Technology, Kozminski University where, among other things, I teach econometrics, social network analysis and some other data-analysis-related courses. I’m also a researcher at the COALESCE Lab, Universitat Autònoma de Barcelona participating in the Patchwork project.

Lately…

I’m 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). These will be extremely handy in addressing research questions posed in the PATCHWORK project.
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) or Law in social networks of late antique Aphrodito.
The Statnet Suite. I contribute code, documentation, and training. Statnet is a suite of R packages for statistical social network analysis, visualization, and modeling focusing on Exponential-family Random Graph Models.
My own R packages, which you can find among the projects.