Biography
I am a doctoral researcher in NLP at the Hasso Plattner Institute in Potsdam, Germany. My research focuses on augmenting encoder and decoder LLM pretraining strategies, often by taking inspiration from human cognition. The topics I work on include long context processing, representation learning and multi-token prediction.
Interests
- Artificial Intelligence
- Natural Language Processing
- LLM Pretraining
Education
PhD in Artificial Intelligence, Ongoing
Hasso Plattner Institute
Research Stay, 2026
Stanford University
MSc in Artificial Intelligence, 2021
University of Amsterdam
BSc in Cognitive Science, 2019
University of Osnabrück
Recent Publications
(2026).
Your LLM Has a Passport: Investigating Brand Origin Geographic Bias in E-Commerce Rankings.
In FAccT ‘26.
(2026).
Iterative Reranking as a Compute-Scaling Method for LLM-Based Rankers.
In ECIR 2026.
(2024).
Learning to Predict Usage Options of Product Reviews with LLM-Generated Labels.
arXiv:2410.12470.
(2024).
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents.
In ACL 2024.
(2024).
CommitBench: A Benchmark for Commit Message Generation.
In SANER 2024.