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M.Sc Martin Kabierski, M.Sc

Research Associate

Martin Kabierski is a research associate of the Weizenbaum Institute as part of the research group “Security and Transparency of Digital Processes“. His research interests lie in the area of process mining, which combines data mining methods with process analytics, to unveil systematic patterns in recorded process execution data. In particular, his research is concerned with the question of how to achieve trustworthy, secure and efficient process analysis, that enable users to relate the expected utility of analysis results to data quality and algorithmic properties.

Until 2020, he studied Computer Science at Humboldt-Universität zu Berlin. He then began his PhD at the chair of Databases and Information Systems under the supervision of Prof Dr Matthias Weidlich.

His research has been published in multiple high-ranking research outlets of the research field (ICPM, BPM, CAiSE, Information Systems). Furthermore, his research has been awarded with the Distinguished Paper Award at CAiSE 2021 and the BEst STudent Paper Award at ICPM 2022. Martin is a member of GI and ACM, supervises multiple bachelor and master thesis and assists in teaching activities for multiple computer science-related courses at Humboldt-Universität.

Positions at Weizenbaum Institut

Research Associate

Research Group “Security and Transparency of Digital Processes

Committees and functions

Member of the Gesellschaft für Informatik, Member of the Association for Computing Machinery

Fields of research

Sample-based Process Analytics, Quality and Representativeness of Process Data, Analysis of sequential Data, Privacy Protection


Open Researcher and Contributor ID (ORCID): 0000-0002-9852-7489


Digital Bibliography & Library Project (DBLP)

Twitter/X: @martinkabierski

Humboldt-Universität zu Berlin (HU)