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. Reproducibility is one cornerstone of scientific progress and trustworthiness. From a reactive point of view, I work on solutions to quantify reproducibility by analyzing the quality of reimplementations in comparison to the original experiment. 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 more 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. I obtained my Ph.D. at the University of Duisburg-Essen and was supervised by Prof. Norbert Fuhr and Prof. Philipp Schaer. During my Ph.D., I developed a living lab infrastructure to conduct interactive information retrieval experiments with technically reproducible information access systems.
ir_metadata
: An Extensible Metadata Schema for Information Retrieval Experimentsrepro_eval
: A Python Interface to Reproducibility Measures of System-Oriented IR ExperimentsSIGIR 2021, 2022, 2023, 2024; SIGIR-AP 2023; CIKM 2020, 2021, 2022, 2024; ICTIR 2021; RecSys 2022, 2024; ECIR 2020, 2021, 2022, 2023, 2024; CLEF 2024; LREC 2022, 2024; BTW 2023; IJDL 2023; TOIS 2023; BIAS@SIGIR24 2024
JCDL 2022
Junior member of the SIGIR Artifact Evaluation Committee