Peter Christen

Peter Christen is a Professor at The Australian National University, specializing in data science, privacy-preserving technologies, and record linkage. His research focuses on methods for secure data integration, entity resolution, and privacy protection in multi-database environments. He has authored influential books, including Data Matching (2012) and Linking Sensitive Data (2020), and has over 200 publications.

Education: PhD in Computer Science from the University of Basel (1999).

Research Interests: Privacy-preserving record linkage, entity resolution algorithms, cryptographic techniques for data security, and scalable data integration systems. He explores both theoretical foundations and practical applications in healthcare, census data, and social media analysis.

Publications Trends: Recent work emphasizes vulnerabilities in privacy mechanisms, graph-based entity resolution, and AI-driven privacy frameworks. He collaborates globally on projects like secure multi-party computation and temporal data linkage.

Labs/Teams: Leads research groups focused on privacy-preserving data integration and entity resolution, developing tools like Merlin for multi-party record linkage.