Publications can be found on his Google Scholar page. Contact him by email for requests about data, code, teaching, or consultancy.
Research Experience
- Assistant Professor in Social Data Science, Oct 2021 - Present, Utrecht University, Netherlands, Computational modeling of social and behavioral systems
- PostDoc in Social Complexity, June 2021 - Oct 2021, University of Amsterdam, Netherlands
- PostDoc in Economics, Jan 2021 - Oct 2021, Charles University, Prague, Czechia (Remote), Modeling the scale and drivers of corporate tax avoidance
Education
- PhD in Computational Political Economy, 2015-2020, University of Amsterdam, Supervisor: CORPNET group
- MSc in Computer Science, 2013-2015, University of Vermont
- BSc in Biotechnology, 2007-2012, University of León
Background
A researcher in computational social science, political economy, and social data science. His research interests include social networks, polarization and inequality, corporate networks, tax avoidance, and corporate power, stochasticity in genetic networks and single-cell dynamics, and data science (web scraping, machine learning, and data visualization). He completed his PhD in Political Economy at the CORPNET group (University of Amsterdam) and an MSc in Computer Science at the University of Vermont.
Miscellany
Lives in Amsterdam, the Netherlands; writes blogs on topics such as visualizing inequality, Apple's tax payments, and more.