CV
Education
- Bachelor of Science in Econometrics and Operations Research (Cum Laude), University of Amsterdam, 2011-2014
- Master of Science in Econometrics (GPA 8.2/10), University of Amsterdam, 2014-2017
- Master of Science in Teacher Mathematics (Cum Laude), University of Amsterdam, 2018-2019
- Ph.D in Computational Science, University of Amsterdam, 2025
Work experience
- 2023-2025: Postdoc in Computational Science
- Complex systems analysis of well-being
- University of Amsterdam, Computational Science Lab
- 2019-2025: Ph.D in Computational Science
- Computational modelling of school choice and school segregation: from theoretical to data-driven agent-based models
- University of Amsterdam, Computational Science Lab
- 2018-2019: Internship: Teacher Mathematics
- Vechtstede College, Weesp
- Internship which was a compulsory part of the master ”Teacher Mathematics”
- 2014–2018 Data-analist / Consultant
- ClickValue, Amsterdam
- ClickValue optimises the online marketing activities of its clients. My main task was to optimise websites with use of data analyses (Conversion Rate Optimisation; CRO). Additionally, if analyses required more serious mathematics and statistics, such as statistical testing or machine learning techniques, I often assisted as well.
Publications
Talks
Empirical calibration of full scale agent-based models of school choice: computational challenges and model validation
Talk at ODISSEI Conference for Social Science in the Netherlands 2022, Utrecht, The Netherlands
Modeling mechanisms of school segregation and policy interventions: a complexity perspective
Talk at International Conference on Computational Science 2023, Prague, Czech Republic
Empirical calibration of full scale agent-based models of school choice: computational challenges and model validation
Talk at 9th International Conference on Computational Social Science, Copenhagen, Denmark
Computational modelling of school choice and school segregation
Talk at Dutch Institute for Emergent Phenomena, Amsterdam, The Netherlands