My current research is rooted in data management and knowledge engineering and and spans theory, algorithms, and applications of Data Science including graph databases, knowledge graphs, querying, analytics, and machine learning.
In the past couple of years, I have gained extensive experience in interdisciplinary data science in collaborations with colleagues from bioscience, medicine, and environmental assessment.
More information about my research is available on the website of the Data Management and Knowledge-Driven AI (DMKI) Lab, which I lead.
