Martin Kabierski

Since September 2022, Martin Kabierski is an associated researcher of the Weizenbaum-Institut as part of the research group “Security and Transparency of Digital Processes“. Until 2020, he studied Computer Science at Humboldt-Universität zu Berlin, at which he also began his PhD at the chair of Databases and Information Systems, which he is intending to finish in the coming year.

Core topics of his promotion and research lie in the area of process mining, which combines data minign methods with process analytics, to unveil systematic patterns in recorded process execution data. In particular, his research is concerned with sample-based approaches for analyzing processes, approximative algorithms for process analysis, and privacy protection of sequential data. A core question of all these aspects is how to create abstracted and aggregated views on high-dimensional data, that are easy to understand on the one hand, but also guarantee confidence and trust with regards to their correctness on the other hand.