I have an interdisciplinary academic background with a BSc degree in Creative Technology (cum laude) and two MSc degrees in Interaction Technology (cum laude) and Electrical Engineering. Additionally, I am an alumnus of DesignLab's Transdisciplinary Master-Insert. My current research interests include Bayesian statistics, prediction models and quantitative preference elicitation techniques to support clinical decision-making.
As a PhD candidate at the Health Technology and Services Research section, I conduct research on statistical models for benefit transfers of quantitative patient preference information. In collaboration with Novartis, I am developing novel meta-regression techniques to extrapolate benefit-risk trade-offs between patient-relevant endpoints across disease indications and countries. We will study the factors underlying preference heterogeneity to perform methodologically sound benefit transfers, to further support patient-centred medical product development.
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Courses Academic Year 2023/2024