Research Interests
Sumayya’s primary research area is privacy-preserving record linkage (PPRL), with a particular focus on developing techniques that anonymise sensitive data while enabling the accurate linkage of records across different data sources. Her broader research interests include data privacy, machine learning, and fairness and bias in data science.
Biography
Sumayya is a PhD candidate in the School of Computing at the Australian National University, where her research focuses on developing efficient privacy-preserving record linkage techniques with enhanced privacy. She holds a Bachelor’s degree with Honours from the University of Colombo, Sri Lanka, and brings several years of industry experience as a Software Engineer.
Additionally, Sumayya contributes to teaching at ANU as a tutor for the Data Wrangling course, supporting both undergraduate and postgraduate students. She has also been affiliated with the Scottish Historic Population Platform (SHiPP) project (affiliated with the University of Edinburgh), contributing to research on historical population data and record linkage.