Peter’s research interests are in the domain of Data Science, with specific expertise in record linkage (also known as data matching, data linkage, entity resolution, and duplicate detection) and a focus on privacy, data quality, scalability, and machine learning aspects of record linkage.
Peter graduated with a PhD in Computer Science from the University of Basel, Switzerland, in 1999. Besides being a professor at the ANU, since 2022 he is also the Research Lead on the Scottish Historic Population Platform (SHiPP) within the Scottish Centre for Administrative Data Research (SCADR) at the University of Edinburgh in the UK.
Peter has published over 200 articles, including the two books “Data Matching - Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection” in 2012 and “Linking Sensitive Data” (co-authored with Thilina Ranbaduge and Rainer Schnell) in 2020. As of 2023, his work has attracted over 15,000 citations at Google Scholar. He is also the main developer of the Febrl (Freely Extensible Biomedical Record Linkage) open source data cleaning, deduplication and record linkage system.