I am full professor of health and social data science, with a joint appointment at Utrecht University’s Department of Methodology & Statistics, and the department of Biostatistics and Data Science at the Julius Center, University Medical Center Utrecht (UMCU).
- 2020: Task leader ODISSEI social data science team (NWO Roadmap)
- 2020: Empirical Methods in Natural Language Processing (EMNLP) “outstanding reviewer”
- 2019: Victorine van Schaik intiative award from the Royal Association of Information Professionals
(KNVI) for Automated Systematic Reviews algorithm
- 2019: PI: VIDI grant [VI.Vidi.195.152] from Netherlands Organisation for Scientific Research (NWO): “valid measures derived from incidental data”
- 2018: Member of the Young Academy of the Royal Netherlands Academy of Arts and Sciences
- PI: VENI grant [451-14-017] from Netherlands Organisation for Scientific Research (NWO):
“Developing latent variable techniques that open up a treasure trove for social science”
- 2016 Utrecht Young Academy elected member
- 2016 Psychometrika “best reviewer” award
- 2014 American Association for Public Opinion Research (AAPOR) Warren J. Mitofsky award for SQP 2.0
- 2014 Tilburg University Best Teacher award for Research Master course “Programming in R”
- 2013 European Survey Research Association (ESRA) Early Career Researcher award
My research focuses on data science methodology, in particular the problem of measurement in the social and health sciences. To draw accurate substantive conclusions, applied scientists need to measure things like human behavior and opinions reliably and validly. Where this ideal is unattainable, the extent of the problem should be known so it can be accounted for in the substantive analysis. My research has contributed to this by:
- Estimating measurement error in hundreds of survey questions from the European Social Survey and creating a meta-analysis that predicts the extent of such errors;
- Developing models that correct multivariate social science analyses for the effects of measurement error while retaining accurate measures of uncertainty about the results;
- Introducing several novel methods to evaluate the fit of latent variable models, the type of model used to attain the two goals above;
- Collaborating on substantive social science research and implementing my own and others’ methods in user-friendly software.
In 2004–5 I was a cofounding board member of the European Survey Research Association (ESRA). I helped organize the ESRA conferences in Barcelona (2005), Prague (2007), and Warsaw (2009).
From 2006–2011 I worked for the European Social Survey (ESS). As a member of the group in charge of the evaluation of question quality in the ESS I worked on multitrait-multimethod (MTMM) models. At first (2006-2008) we were at the methods department of ESADE, Barcelona, after which we became the Research and Expertise Centre for Survey Methodology (RECSM) at the Universitat Pompeu Fabra (UPF) in Barcelona. During this period I often represented UPF in the central coordinating team of the ESS.
In January 2011 I obtained my PhD in as an external candidate at the department of Methodology and Statistics of Tilburg University. My thesis was entitled “Measurement error in comparative surveys” and the promotors were Professors Willem Saris, Albert Satorra, and Jacques Hagenaars.
Continuing at UPF I worked on a new version of the Survey Quality Predictor (SQP 2.0), a program designed to predict the quality of a survey question from its characteristics such as the number of categories, presence of a “don’t know” option, linguistic complexity, etc. Some results from that work can be found here, and the program is online here.
After this I had the pleasure of being a visiting professor at the Joint Program for Survey Methodology (JPSM) at the University of Maryland, teaching experimental design. During this period I also worked on comparability of survey results across groups.
In January 2012 I joined the Methodology department at Tilburg to work on a project funded by the Dutch National Science Foundation on stepwise latent class modeling.
On 17 July 2014 I was awarded a Veni grant from the Dutch national science foundation, NWO, for the period 2015–2018. On 1 January 2015 I joined the Methodology department as a tenure track assistant professor (tenured 2015).
On 1 September 2016 I joined the Methodology & Statistics department at Utrecht university as an associate professor Data Science methodology.
On 15 July 2021, I was appointed full professor of data science for healthcare, with a focus on cardiovascular health – jointly between the Utrecht University Faculties of Medicine and Social & Behavioral Sciences.