Matthias Weidlich appointed Professor for Data Systems at HPI

• Prof. Dr. Matthias Weidlich analyzes complex processes in healthcare, business and scientific applications
• Data-driven analyses aim to make complex systems understandable in real time
• Prof. Dr. Weidlich already earned his doctorate at HPI and is now returning to the campus 

The Hasso Plattner Institute (HPI) is expanding its research on data-driven information systems. Since April 1, 2026, Prof. Dr. Matthias Weidlich has been heading the new "Data Systems" research group at the joint Digital Engineering Faculty of the HPI and the University of Potsdam. 

Matthias Weidlich conducts research on data management and the data-driven analysis of complex systems. Most recently, he was a Professor at the Department of Computer Science at Humboldt-Universität zu Berlin (HU Berlin), where he held the Chair of Databases and Information Systems since 2018. Prior to that, he served as a junior professor for Process-Driven Architectures at HU Berlin and worked as a researcher at institutions including Imperial College London and the Technion – Israel Institute of Technology. His appointment as Professor for Data Systems at HPI also marks a return: Weidlich earned his PhD in Computer Science from the Hasso Plattner Institute in 2011. 

At the center of his research is the data-driven analysis of the behavior of complex systems, such as processes in healthcare, logistics, business management, and scientific studies. These may include treatment workflows in hospitals, global trade flows and supply chains, or standardized evaluation methods for scientific experiments. Prof. Weidlich develops algorithms for the data-driven analysis of all these processes in order to monitor and evaluate them in real time.

"Two decades ago, the stimulating environment at HPI drew me into research on processes and data. Returning to the institute, I hope to encourage students to drive innovations in data-centric process analysis and data stream processing, and to translate their ideas into impactful systems and applications," says Prof. Weidlich. 

With the research group “Data Systems”, Prof. Weidlich builds on his previous work and focuses on the algorithmic foundations and infrastructures for the data-driven analysis of complex systems. A key objective is to develop methods that support users in designing data analyses and enable practical process improvements based on the collected data.