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| Seeing the Process as It Is: Data-Driven Discovery and Analysis with PMTk |
| PROF. DANIEL, Schuster |
| University of Mannheim & Process Intelligence Solutions |
| Daniel Schuster is a Junior Professor for AI Methods for Process Analysis & Management at the University of Mannheim (since December 2025) and Managing Director of Process Intelligence Solutions (PIS), a spin-off from Fraunhofer FIT that develops and maintains the widely used PM4Py open-source process mining library. He obtained his Ph.D. from RWTH Aachen University in 2023 under the supervision of Prof. Wil van der Aalst. His dissertation on incremental process discovery won the 2024 Best Process Mining PhD Dissertation Award by the IEEE Task Force on Process Mining. His research focuses on hybrid intelligence approaches that combine human expertise, symbolic models, and AI-driven techniques, including the integration of large language models with structured process knowledge, to enable intelligent and interactive systems for analyzing and managing complex real-world processes. |
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