Christof Bless

Christof Bless is a Researcher and Doctoral Student at the Lucerne School of Computer Science and Information Technology (University of Lucerne). His work focuses on privacy technologies, natural language processing, and knowledge graph applications. He contributes to projects like Privacy Simplified Reloaded, Music DNA, and Argument Representation Learning (ARL).

His research interests span privacy policy comprehension tools, semantic annotation frameworks, and reputation systems leveraging blockchain technology. He has developed specialized NLP tools such as SciKGTeX for scientific publications and contributed to benchmark datasets like PrivacyGLUE.

Recent work emphasizes visualizing data consent mechanisms and exploring cross-lingual semantic analysis. His publications demonstrate interdisciplinary approaches combining computer science with legal/ethical considerations in data governance.

Labs/Teams: Active in the HSLU research group working on privacy-preserving technologies and educational AI applications.