I am a postdoctoral researchers working in the Dynamic Modeling Lab of prof. Dr. Ellen Hamaker, and as part of the Stress in Action research consortium. My project is concerned with the development and evaluation of mathematical models to study causal effects from longitudinal, observational data (both panel data, as well as intensive longitudinal data).

Currently, I'm working on (a) the use machine learning techniques to estimate propensity scores in longitudinal models, which can then be used in causal inference in psychological research; and (b) the comparison of causal inference methods from epidemiology and biostatistics (e.g., g-methods such as inverse probability weighting estimation of marginal structural models, and structural nested mean models), to structural equation modeling methods popular in psychological research. Furthermore, I'm involved in methodological and statistical consultation, as well as collaborations with applied researchers to use advanced statistical methods on empirical (real) data. 

Photo by Hans-Peter van Velthoven, NPO Campus