I am a postdoctoral researcher at TH Köln - University of Applied Sciences. My main research interests are reproducible science and the evaluation of information access systems. On the one hand, I work on solutions to quantify reproducibility by analyzing the quality of reimplementations. On the other hand, reproducibility can be proactively ensured, and I am an advocate of logging metadata and making the data provenance of computational experiments transparent. Furthermore, I believe that user simulations are the solution to bridge the gap between system- and user-oriented evaluations and to better understand the generalizability of experimental outcomes. During my doctorate, I developed a living lab infrastructure to conduct interactive information retrieval experiments with technically reproducible information access systems.
SIGIR [2021 - 2025], SIGIR-AP [2023], CIKM [2020 - 2022, 2024], ICTIR [2021], RecSys [2022, 2024 - 2025], ECIR [2020 - 2025], JCDL [2022], CLEF [2024], LREC [2022, 2024], COLING [2024 - 2025], IJDL, TOIS
ir_metadata: An Extensible Metadata Schema for Information Retrieval Experimentsrepro_eval: A Python Interface to Reproducibility Measures of System-Oriented IR Experiments