Research
Explore the tiles below for a concise overview of my main research areas and ongoing lines of work.
What can machine-learning models reveal about social processes beyond prediction accuracy alone? This project uses high-dimensional and administrative data to identify where models generalize and where performance gaps point to substantive mechanisms.
Social and institutional ties help structure inequality, mobility, and political polarization. The work combines network topology with behavioral and attitudinal data to trace how divisions emerge and persist over time.
How do ownership structures and jurisdictional strategies enable tax avoidance and illicit financial flows? This research maps corporate power across countries to identify systemic patterns in economic crime.
ODISSEI SoDa combines collaborative research on shared Dutch data infrastructure with practical software development, building reusable tools and reproducible workflows for policy-relevant social science.
Previous Projects
Global corporate ownership networks can reveal who controls economic resources across borders. This project measured concentration and dependence, highlighting how offshore and intermediary jurisdictions organize influence.
Why do genetically identical cells behave differently over time? This work modeled stochastic gene-regulation dynamics to study pulsing, noise propagation, and how microscopic variability scales to population-level outcomes.