About

I like both the problem and the solution. This is why I studied Psychology and Computer Science. Learning is a fascinating and complex process I want to understand and improve using the modern toolbox of quantitative methods. These tools are classical statistics, gradient-based, hierarchical function approximators (neural networks), including language models.

Research #

• Under the supervision of Christian Fischer and Renzhe Yu, I investigated Machine Learning models for student dropout prediction in higher education. Our work will be presented at LAK24 in March.
• Previously, I worked on the creation of Knowledge Graphs with Álvaro Tejero-Cantero in the ML Science Colaboratory.
• With Sascha Schroeder, I improved the preprocessing of eye-tracking for psychological studies of reading acquisition.
• At the Hasso Plattner institute, I investigated the data-privacy-compliant integration of third-party educational resources into cloud learning platforms using a pseudonymization approach. I wrote an article (in German) about didactics within e-learning environments in their blog: Dialogisches Lernen

Education #

2024 (expected) - Master of Science Quantitative Data Science Methods, University of Tübingen

2023 - Visting Graduate Student, Yale University

2021 - Bachelor of Science Psychology, University of Göttingen

2021 - Erasmus scholar, Universidad de Sevilla

2018 - Bachelor of Science IT-Systems Engineering, Hasso-Plattner-Institut, Potsdam