CV
Overleaf version Google Scholar
General Information
- Full Name
- Javier Garcia-Bernardo
- j.garciabernardo [@] uu.nl
- Signal
- javier.64
- Languages
- Spanish (Mother tongue), English (C2), Dutch (B2)
- Location
- Utrecht, the Netherlands
Academic Timeline
-
Assistant Professor in Methodology & Statistics
Oct 2021–Present
- Computational social science on inequality, polarization, taxation, and economic crime.
- Research using population-scale administrative and social network data.
- Development of software for social and behavioral science in the ODISSEI Social Data Science (SoDa) team.
- Associate Member of the Centre for Complex Systems Studies (CCSS), Utrecht University.
-
Postdoctoral Researcher in Social Complexity
Jun 2021–Oct 2021
- Designed online experiments and network-based models of information transmission, fidelity, and divisiveness.
- Co-developed the Computational Social and Behavioral Science Community centered at the Institute for Advanced Study.
-
Postdoctoral Researcher in Public Economics
Jan 2021–Oct 2021
- Analyzed profit shifting, effective tax rates, and tax-haven structures using multinational firm-level and country-level data.
-
Data Scientist
2019–2021
- Research on corporate tax avoidance and illicit financial flows.
- Contributed to evidence briefs, visualizations, and reproducible data workflows for tax justice reporting.
-
Co-founder and Data Scientist
2019–2021
Consultancy projects for the International Monetary Fund (2021), the OECD Economics Department (2019, 2020), the World Bank Group Investment Climate Unit (2021), The Left Group in the European Parliament (GUE/NGL) (2021), the International Centre for Tax and Development at the University of Sussex (2020), and SEO Amsterdam Economics (2020).
-
PhD Candidate, PhD in Computational Political Science
2015–2020
- Network science and computational political economy research on multinational ownership, tax havens, and offshore finance.
- Developed large-scale data pipelines and network methods for corporate network analysis.
-
Complex Systems Summer School
2018
-
Graduate RA & MSc in Computer Science
2013–2015
- Built stochastic and mechanistic models of genetic regulatory networks and single-cell dynamics.
- Developed computational models of social conflict and complex-system dynamics.
- Certificate in Complex Systems.
-
BSc in Biotechnology
2007–2012
Selected Grants and Awards
-
2025:
- NWO Open Competition XS "Embedded Lives" (EUR 50k)
- Timothy J. Sinclair Best Article Award (Review of International Political Economy), for "Unfollow the money: mapping the micro agents of international tax" (with Saila Stausholm)
-
2024:
- NWO VENI "The Social Contexts of Upward Mobility: Advancing Theory through Novel Prediction Methods" (EUR 320k)
- ZonMw BePrepared (co-applicant, UU share) "Modeling citizens' vaccination choice profiles for more targeted interventions" (EUR 146k, UU share)
- Applied Data Science (ADS) 2024 SIG grant (co-applicant) "Leveraging LLMs for stance detection and political polarization" (EUR 5k)
-
2022:
- Best paper prize of the Society of Friends and Alumni of the MPIfG, for "Competing for capitals: the great fragmentation of the firm and varieties of FDI attraction profiles in the European Union" (with A. Reurink)
-
2021:
- First prize in the "V Open Data Contest of the Community of Castilla y León (Spain)" for the website repuebla.me
-
2020:
- Inclusion in the TaxCOOP 35 Leaders of the Future excellence list
-
2019:
- First prize of LUCA challenge for responsible use of AI
-
2018:
- David P. Baron Award for the best article published in Business and Politics, for "Hidden power of the Big Three? Passive index funds, re-concentration of corporate ownership, and new financial risk" (with J. Fichtner and E. M. Heemskerk)
-
2015:
- Computer Science Graduate Award for Outstanding Performance and Greatest Promise of Success