I am a postdoctoral researcher at Marburg University, Germany, where I recently finished my PhD in Psychological Methods. My research focuses on three areas: metascience of methodological research, time series modelling, and applied experience sampling research. Throughout these, I build open source software tools and try to promote open science practices.
In my work on time series modelling, I develop and evaluate novel multilevel models for time series data, with a particular emphasis on quantifying and communicating uncertainty in model outputs. To help researchers applying these methods, I have (co-)developed multiple software packages for R and Python.
This methodological work influences my metascientific work, where I study how we can conduct methodological research in a transparent, robust, and reproducible way. One result of this work was the introduction of ADEMP-PreReg, a protocol for reporting and preregistering simulation studies. I’m currently (co-)chairing two working groups on quality standards for simulation studies, and I’m always open to chat about novel ideas to improve methodological research.
I have always enjoyed teaching statistics and programming to students and researchers. Over the years, I have given multiple workshops on reproducible research and time series modelling, for which you can find the materials on my workshop page.
I’m committed to open science practices. Together with collaborators, I built openESM, an open-source database of 60+ experience sampling datasets. We are actively working on expanding the database and making it easier for researchers to use it. Updates on the project can be found on the openESM blog. I’m also a board member of the Open Science Initiative at Marburg University.
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