AI is easy. Human-AI reasoning is hard.

I specialise in solving the AI alignment and reasoning gap for high-stakes enterprise. AI rarely fails because of weak models; it fails because organisations weren't built for non-human intelligence. Most projects collapse where the model collides with human judgment, organisational incentives, and cognitive overload. I bridge that gap - transforming technically impressive systems into reliable institutional assets. It’s not a model problem. It’s a cognitive alignment problem.

Cognitive risk & alignment audits
High-reliability decision support
Human judgment, preserved
Technical fluency meets behavioural depth
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Start with people, not models
Trust, comprehension, and adoption are engineered - not assumed.
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Epistemic integrity over demos
Uncertainty surfaced. Constraints respected. Failure modes mapped.
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Between disciplines, on purpose
Psychology × computer science for systems that work in organisations.
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Where AI systems quietly fail
Over-confidence, automation bias, misplaced authority, and decision-making drift that rarely shows up in demos — but always appears in production.
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What I’m actually hired to do
Identify cognitive failure modes, audit human–AI alignment, and redesign decision pathways before trust is damaged.
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Designed for high-stakes environments
Government, enterprise, and regulated contexts where AI errors carry reputational, legal, or political consequences.
About

Bridging human cognition and intelligent systems.

With a PhD in Psychology and a degree in Computer Science, I specialise in understanding human behaviour at scale and translating those insights into AI strategy, ethical design, and organisational transformation.

I’ve led research and strategy across the Australian Government, national consumer services, enterprise, and industry, helping teams align digital services with how people actually think, decide, and work.

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Designing intelligence that understands people
Behaviourally-informed AI strategy that respects cognitive limits, trust, and real-world decision-making.
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Insight that drives adoption and impact
Turning qualitative and quantitative research into clear direction for product, policy, and operating models.
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Technical fluency meets behavioural depth
Hands-on with generative AI, RAG, and service design, all while keeping human behaviour, ethics, and risk at the center.
International Work

Available for roles worldwide.

I am open to international roles across government, enterprise, consulting, and research environments. I work effectively across time zones and I am comfortable with remote-first, hybrid, or relocation-based arrangements.

My background in AI strategy, behavioural science, and large-scale transformation allows me to integrate quickly into cross-border teams and deliver value in complex organisational contexts. I’m experienced working with global stakeholders and distributed delivery environments.

Eligible for the U.S. E-3 Specialty Occupation Visa
I am E-3 Visa eligible meaning that I can be on-site in San Francisco or NYC within weeks, functioning as a local hire with the depth of a Global PhD. There is no visa backlog, no lottery, no fees, no sponsorship bureaucracy.
What U.S. employers should know
No lottery system. No annual competition with H-1B applicants. No prevailing wage complications when handled correctly. No filing fees for employers. Processing is fast and predictable. Dual intent is recognised in practice.
Straightforward for HR teams
Employers simply provide a standard job offer letter and submit a Labor Condition Application (LCA). The rest is handled at the consulate by the applicant. E-3 renewals are also simple and can be extended indefinitely.
Recruiter Resources

Selected materials that capture how I think about AI adoption, organisational risk, and large-scale transformation. I’ve also put together two short, practical one-pagers to make hiring easy, whether you're evaluating my background or exploring the E-3 visa process for U.S. roles.

Documents are concise, recruiter and executive friendly, and designed to support quick evaluation and decision-making.

Expertise

Where I add the most value.

AI Strategy & Adoption

  • Generative AI & RAG use-case discovery
  • Behavioural risks & trust frameworks
  • Operating model & capability uplift

Behavioural & Systems Research

  • Large-scale UX & cognitive analysis
  • Policy, risk, and ecosystem mapping
  • Decision-making & adoption modelling

Agentic Systems Architecture

  • AI-enabled journeys & workflows
  • Product development and service design
  • Complex stakeholder environments
Experience

Working across government, enterprise & industry.

I’ve led research and strategy on national-scale programs including digital identity, agricultural exports, and complex enterprise platforms, placing me at the intersection of policy, technology, and human behaviour.

Roles have included Strategic Service Designer, Service Design Researcher, Principal Strategy Consultant, UX Researcher, and Full Stack Web Developer across the public and private sectors.

AI & Technology

  • Designed, built, and deployed complete RAG systems
  • Deep familiarity with the software design lifecycle
  • Hands-on experience with technology systems and languages including Python, SQL, HTML, and CSS
  • Experience designing and deploying to cloud-based systems

Psychology & Research

  • Extensive experience with research methodology and experimental design
  • Data science and statistical modelling including the use of SQL
  • Recognised excellence in communication, including formal teaching awards and stakeholder presentations
  • Years of study and experience encompassing human behaviour, cognitive biases, and how these impact system and service adoption

Problem Statement

I specialise in the gap between technically valid AI and behaviourally effective AI, where trust, incentives, and decision-making determine whether systems succeed or quietly fail.

Qualifications

  • PhD in Psychology
  • Master of Research in Psychology
  • Bachelor of Science with First Class Honours in Psychology
  • Bachelor of Science in Computing
Discuss Your AI Strategy

Let’s talk about AI, human behaviour, and strategy.

I’m open to conversations about AI strategy roles, research and design leadership, and advisory work at the intersection of AI, behavioural science, and complex systems.