Research interests:

My research is in the fields of data mining and data matching (also known as record linkage or entity resolution).

I am especially interested in the development of scalable and real-time algorithms for data matching, and privacy and confidentiality aspects of data matching and data mining.

Keywords: Data Matching, Record Linkage, Entity Resolution, Data Mining, Privacy Technologies, Privacy Preserving Record Linkage.

Bio:

I have received a Diploma in Computer Science Engineering from ETH Zurich in 1995, and a PhD in Computer Science from the University of Basel in 1999 (both in Switzerland).

My research in data mining and data matching has so far resulted in over 80 publications, including the book Data Matching by Springer in 2012. I am the main developer of the `Febrl' (Freely Extensible Biomedical Record Linkage) open source data cleaning, deduplication and record linkage system.

Research opportunities with Professor Peter CHRISTEN

• Space/time efficient privacy-preserving medical data representation
• Flexible and realistic synthetic medical data generator
• Research in population informatics