About me
I am a statistics PhD student at the Georg-August-University Göttingen. The focus of my work lies on statistical modeling and the development of research software. Currently, I am involved in the following projects:
- I work on Bayesian Conditional Transformation Models (CTMs), a class of flexible distributional regression models.
- I am part of the development team of Liesel, a Python library for research on Bayesian semi-parametric regression models.
- I develop and maintain alfred3, a Python library for programmatically creating behavioral experiments, both for the laboratory and the internet.
- I also develop and maintain alfred3-interact, an extension for alfred3 that allows you to include real-time interaction between participants in alfred3-experiments.
Interests
- Statistical Modeling in general
- Distributional Regression in particular
- Research Software Development (R & Python)
- Open Science
Education
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MSc in Applied Statistics, 2022
Georg-August-University Göttingen
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MSc in Psychology, 2019
Georg-August-University Göttingen
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BSc in Psychology, 2014
Friedrich-Schiller-University Jena
Publications
(2022).
Replikationskrise, p-hacking und Open Science: Eine Umfrage zu fragwürdigen Forschungspraktiken in studentischen Projekten und Impulse für die Lehre.
Psychologische Rundschau, 73(1), 1–17. https://doi.org/10.1026/0033-3042/a000562.
(2021).
Stop Removing Stop Words – An Evaluation of Preprocessing Techniques for Twitter Sentiment Analysis with a Deep Learning Approach.
In René-Marcel Kruse and Benjamin Säfken and Alexander Silbersdorff and Christoph Weisser (Eds.), Learning Deep Textwork: Perspectives on Natural Language Processing and Artificial Intelligence (pp. 37–53). Universitätsverlag Göttingen. https://doi.org/10.17875/gup2021-1608.