About

Global AI Security Leadership Through Non-Traditional Pathways

A journey of persistence, courage, and perspective—shaping international standards in AI security while bringing Pacific voices to global AI safety discourse.

Leadership Positions

Professional Roles & Responsibilities

OWASP ML Security Top 10

Co-Lead

Leading the development of the top 10 machine learning security vulnerabilities framework used globally by security practitioners and organisations.

IEEE Transactions on Technology and Society

Associate Editor

Peer review and editorial oversight for cutting-edge research at the intersection of technology and society.

Australian Computer Society

Professional Standards Board Member

Shaping professional standards and ethics for the computing industry across Australia.

Cloud Security Alliance

AI Working Group Volunteer

Contributing to global cloud security standards and AI-specific security frameworks.

OpenAI Forum

Domain Expert Member

Providing expert guidance on AI safety, security, and governance to OpenAI's research community.

Research Philosophy

Bridging Technical Excellence with Pacific Perspectives

Technical Focus Areas

01

AI Security Governance

Security best practices for AI/ML systems, organisational frameworks, and MLSecOps implementation. Developed the CIPHER framework for harmonising emerging risks.

02

Cyber Risk Quantification

Novel approaches using chaos theory, dynamical systems, and game theory to model and quantify AI security risks with mathematical rigour.

03

Global AI Safety & Equity

Challenging Western-centric approaches by bringing Pacific and Indigenous perspectives to AI governance, emphasising sustainability over growth and sovereignty over control.

"Current AI safety discourse in Oceania operates under colonial misconceptions, given the prioritisation of growth and control over sustainability and sovereignty. More sustainable and inclusive frameworks for AI safety can be developed using Indigenous knowledge."
— From Brookings Institution research on AI infrastructure and Pacific Island nations

Methodological Approaches

  • Chaos Theory & Dynamical Systems: Applying non-linear dynamics to model complex AI risk scenarios
  • Game Theory: Modelling adversarial interactions between attackers and AI systems
  • Complex Systems Mathematics: Understanding emergent properties in AI security ecosystems
  • Interdisciplinary Integration: Bridging neuroscience, human-computer interaction, and information warfare
  • Decolonial AI Ethics: Centering Global Majority perspectives in AI policy and governance
Recognition

Awards & Achievements

2025
Winner

Alumni Award for Professional Excellence

Charles Sturt University

Recognised for shaping global standards in AI security. Citation highlights the journey from starting university without a bachelor's degree to becoming an international AI security leader.

Finalist

AI Academic/Researcher of the Year

Australian AI Awards 2025

2025

Finalist

Cyber Security Researcher of the Year

AISA 2024

2024

Winner

Security & Operations Executive Award

Telstra

2023

Completed

Leadership Development Programme

Telstra

Earned "Leads The Way" and "Team Performer" credentials

Let's Collaborate on AI Security

Whether you're building AI systems, establishing governance frameworks, or researching ML security—let's work together to create safer, more equitable AI.