About:
I am a Postdoctoral Research Fellow at the Australian National University (ANU). As a successful applicant of the competitive National Intelligence Postdoctoral Grant (Round 5), my current research on Unsupervised Entity Resolution Using Large Language Models and Sparse Graph Alignment is funded through the Office of National Intelligence, Australia. In this research we investigate how LLMs can be used to mitigate bias introduced by data sparsity in entity-resolution tasks by surfacing and exploiting contextual syntactic and semantic relationships between observable attribute values. Furthermore, we utilise sparse-graph alignment techniques to integrate new records with already resolved entities in an incremental and scalable manner.
My previous research fellow appointment of 3 years (2022-2025) was partially funded by the University of Edinburgh for my contribution to the Scottish Historic Population Platform (SHiPP) project [1] as part of my employment. I also served as a co-convenor of the Data Wrangling course offere by the ANU to a student cohort ranging from 200 to 300 Master’s and third year undergraduate students, from 2023 to 2025.
I obtained my PhD degree from the ANU in 2022, where the focus of my doctoral research work was on proposing Effective Record Linkage Techniques for Complex Population Data [2]. Record linkage is the task of identifying records in a dataset which relate to the same entity. It is an important step in cleaning datasets (for duplicate removal) and extensively used for tasks such as population reconstruction. In the absence of unique identifiers per records, a record linkage method must be used to identify whether two records relate to the same entity. This task is particularly complicated where population datasets (data about people) are concerned, due to the many mistakes introduced to them at the time of data entry and transcription, errors and variations in names, and the imbalance in name distributions (many people sharing common names and few very uncommon names), etc. My focus is on developing effective record linkage techniques using which high quality population record linkage can be achieved. For a comprehensive list of my publications, please see my Google Scholar profile [3].
[2] https://openresearch-repository.anu.edu.au/handle/1885/264165
[3] https://scholar.google.com.au/citations?user=bQwdgp0AAAAJ&hl=en
Education:
- PhD from the Australian National University (2022)
- BSc. (Hons) Computer Science with first class from University of Colombo School of Computing, Sri Lanka (2016).
Work Experience:
- Postdoctoral Research Fellow at the Australian National University (Nov 2022 – Present)
- Senior Research Officer at the Australian National University (Nov 2021 – Nov 2022)
- Tutor at the Australian National University (Mar 2019 - Jun 2022)
- Software Engineer at WSO2 (Jan 2016 - Jan 2018)
- Software Engineering Intern, Google Summer of Code (Jun 2020 - Aug 2020)
- Business Analyst Intern, Epic Lanka Pvt Ltd (Aug 2014 - Jan 2015)
Awards, Scholarships & Grants
- The National Intelligence Post-Doctoral Grants (NIPG) - Grant funding of 365,000 AUD from the Office of National Intelligence under the National Intelligence Community (NIC) Research Program (2025 - Present)
- The Scottish Historical Population Platform (SHiPP) - Grant funding of 330,004 AUD from Economic and Social Research Council (2022-2025)
- Novel methods of data integration and federated learning for many-party individual-privacy applications - Grant funding of 25,000 AUD from The Australia-Germany Joint Research (UA-DAAD) Cooperation Scheme (2024-2025)
- ANU PhD Scholarship (International) (2018)
- ANU HDR Merit Scholarship (2018)
Voluntary Contributions:
- Offering mentorship to a junior research fellow through the ANU Network for Early Career Teachers, Academics and Researchers (NECTAR) mentoring program - 2025
- Outreach session conducted at the University of Colombo, School of Computing (UCSC), Sri Lanka, educating final year undergraduate students regarding Higher Degree Research (HDR) opportunities available at the Australian National University (ANU) - 2025
- Program committee member of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) conference, 2024 and 2025
- Voluntarily contributing my knowledge and expertise for the development of a curriculum in data science by the National Apprentice and Industrial Training Authority (NAITA) of Sri Lanka (2022-2024)
- Volunteer at the Alumni Insights Networking event organised by the Australian National University during the ANU Careers Week - 2024
- Member of the International Journal of Population Data Science (IJPDS) peer-review panel.
- ANU Open Day Volunteer 2023
- Provide mentorship for Sri Lankan students in the Sustainable Education Foundation (SEF) ScholarX 2022 program
- Editor of the Computer Science Society - University of Colombo School of Computing (Jan 2012 - Dec 2012)