About

I am a researcher in information systems and privacy engineering, focusing on the design of decentralised, privacy‑preserving data systems and digital infrastructure. My work sits at the intersection of data governance, distributed system design, and digital platforms, with a focus on enabling trusted and responsible data sharing in complex organisational and societal contexts.

My current research program explores data transaction micro‑contracts on private data stores, enabling individuals and organisations to define and enforce their own data use terms. This work contributes to emerging directions in data sovereignty, trusted data ecosystems, and privacy‑preserving AI, and has been presented at the Solid Symposium 2026 with peer‑reviewed publications.

I have nearly 20 years’ post PhD experience across government, academia, and industry, and bring a combination of technical expertise, governance knowledge, and applied research in real-world digital systems. I am also a physicist, with a PhD in Astronomy and Astrophysics (Galactic Dynamics) from the ANU and BSc Hons (Physics) from University of Melbourne.

Research Themes

Decentralised Data Systems and Data Sovereignty

Design of architectures (e.g. W3C Solid personal data stores) that enable users and organisations to retain control over their data and participate in distributed digital ecosystems.

Agentic Data Sharing and Micro‑Contracts

Development of models for machine‑readable, user-defined data sharing terms (e.g. IEEE 7012 “MyTerms”), supporting dynamic consent and contracted data use conditions.

Privacy‑Preserving AI and Distributed Analytics

Enabling analytics and AI on decentralised, user-controlled data through federated and privacy‑enhancing approaches.

Data Governance and Trusted Data Ecosystems

Exploring how technical architectures interact with governance, policy, and organisational practice to support responsible, scalable data sharing.

Selected Projects and Impact

My research is grounded in the design and deployment of real-world systems that embed privacy‑by‑design and data governance principles. These projects demonstrate how decentralised architectures and privacy engineering approaches can support trusted data sharing in practice across government, healthcare, and research domains.

• Decentralised sovereign digital tools (Solid):
  Development of open-source tools and applications enabling encrypted, consent-based data sharing between personal data stores.

• Privacy‑preserving health data infrastructure:
  Design of federated data systems for clinical trials and Indigenous health settings, enabling secure and compliant use of sensitive data.

• Public sector data systems:
  Contribution to national-scale data platforms, including COVID‑19 reporting systems and enterprise data governance frameworks within the Australian Government.

Selected Publications

• Vidanage, A., Moore, J., Chen, D., Chen, Y., Rodriguez-Mendez, S., Williams, G., (2026), Implementing Encrypted Private Data Sharing Between Personal Data Vaults, Solid Symposium 2026.
• Moore, J., Vidanage, A., Chen, D., Chen, Y., Rodríguez-Méndez, S., and Williams, G., (2026), Packages for Developing Apps enabling Data Sovereignty and Privacy using the Solid Specification and the Flutter Web Framework, Solid Symposium 2026.
• Rodriguez-Mendez, S., Vidanage, A., Chen, D., Moore, J., Chen, Y., Sullivan, C., Williams, G., (2026), Federated Privacy-First Data Collection and Analysis for Clinical Trials using Personal Online Datastores, Solid Symposium 2026.
• Dyda, A., Purcell, M., Curtis, S., Field, E., Pillai, P., Ricardo, K., Weng, H., Moore, J., Hewett, M., Williams, G., (2021), Differential Privacy for Public Health Data: An Innovative Tool to Optimise Information Sharing while Protecting Data Confidentiality, Patterns, 2, 12, https://doi.org/10.1016/j.patter.2021.100366.

Teaching and Education

I have extensive experience in postgraduate and professional education in data analytics, software engineering, and privacy‑by‑design systems. My teaching integrates technical capability with governance, ethics, and real‑world application, preparing students to design and manage complex data systems.

This includes:

• Curriculum leadership for ANU Master’s programs in Applied Data Analytics and Data Engineering
• Work‑integrated learning in software engineering and data science projects
• Delivery of training programs in programming, analytics, and secure systems for government and industry

Engagement and Collaboration

My work spans academia, government, and industry, with collaborations across healthcare, national security, and public sector data systems.

I work at the intersection of technical, organisational, and policy domains to translate research into practice and support the development of responsible data ecosystems.

I contribute to international standards development in privacy terms, and engage with stakeholders to apply research in real-world contexts.

Activities & Awards

• Graduate, Founder’s Institute Pre-seed Accelerator Program (2013)
• Australian Government Medallion for Outstanding Achievement (2008)
• Joan Duffield PhD Scholar, Research School of Astronomy & Astrophysics, Australian National University (1999)

Boards

• Non-executive Director, Trumpf Software (2019-2021)
• Non-executive Director, YWCA of Canberra (2014-2016)

Committees

• Member, Australian Linked Data Working Group (2022 - current)
• Member, ANU Travel Research Lab (2023 - 2024)
• Member (former Secretary), Australian Institute of Physics ACT Branch Committee (2021 - 2023)
• Member, Higher Degree Scholarship Committee, School of Computing, Australian National University (2021 – 2023)
• Member, Curriculum Development Committee, School of Computing, Australian National University (2021 – 2023)
• Organising Committee Industry Chair, Australasian Data Science and Machine Learning Conference, Sydney (2022)
• CECC Representative for ANU Social Inclusion and Diversity Working Group (2020 - 2022)
• SII (later SOCO) Representative for ANU CECC Community & Inclusion Committee (2019 - 2021)

Values

I am committed to ethical, inclusive, and equitable approaches to data. This includes collaboration with First Nations communities and supporting the development of data systems that respect cultural governance, trust, and community priorities.