Cognitive Psychometrician

I am a postdoctoral researcher at RWTH Aachen University, working in Andreas Neubauer’s group. My research focuses on the reliability of intensive longitudinal data, as part of the DFG-funded project Reliability in Intensive Longitudinal Data (RILDA). I also implement longitudinal methods, such as dynamic structural equation modeling (DSEM), on cognitive ability data, with a continued interest in individual differences in cognitive control and in advancing psychometric practices.

I am also actively involved in developing emerging statistical methodologies, particularly in Bayesian statistics, and I am committed to making these advancements freely accessible through software tools and open science practices. As an avid R user, I find it invaluable for analysis, visualization, and script automation, especially for maintaining high standards of reproducibility, accountability, and shareability.

A significant aspect of my training revolves around the theory of cognition, where I advocate for research that is not only theory-based but also demonstrates psychometric rigor. My goal is to continue contributing to cognitive research through innovative methods and rigorous theoretical frameworks.