I am a PhD candidate at the Department of Psychological Methods at the University of Amsterdam, working in the Bayesian Graphical Modeling Lab. My current project focuses on the further development of Bayesian methods for the analysis of graphical models, mainly for cross-sectional psychological data. My research interests lie in the areas of Bayesian hypothesis testing and network psychometrics. 

Research methods

• Network Psychometrics
• Bayesian Statistics
• Bayesian Hypothesis Testing

Current research projects

Given the unknown structure of the graphical models used in network psychometrics, the Bayesian approach helps deal with uncertainty by expressing the plausibility of different network structures, testing hypotheses for edge inclusion/exclusion, and providing robust prediction intervals for network parameters based on empirical data. The goal of my Ph.D. project is to further extend the functionality of this methodology by adding additional features as well as making it more accessible to applied researchers.

BA

• Bayesian Statistics

MA

• Bayesian Hypothesis Testing in Practice