Research and teaching in statistical methods for the analysis of clustered data sets, such as electronic healthcare records and individual participant data meta-analysis, with a focus on statistical methods for accounting for heterogeneity between data sets and measurement error.

Research on statistical methods for clustered data such as pooled studies in individual participant data meta-analysis and electronic healthcare records. My focus was on (prediction) methods that account for heterogeneity between data sets and on methods that adjust for (differences in) measurement error.Further, I have taught various courses in (bio)statistics and epidemiology.

Research on Predictive Performance of Multinomial Logistic Models, estimated with Maximum Likelihood, Lasso and Ridge.

Assisting in teaching the basics of Biostatistics to master's students.

Student Assistant at the Faculty of Social Sciences, teaching SPSS to pre-master students.