I’m drawn to tough cases and hard questions: how should our institutions adapt to advanced AI? how can AI improve access to services and the delivery of justice? how can we reliably evaluate AI systems? and how can law help us manage the risks of advanced AI?

Across my legal practice, I’ve worked on the law from several perspectives: applying and challenging it in court, helping develop legislative policy in government, and advocating for reform through civil society.

I was called to the Victorian Bar in 2019, where I read with Sarah J Keating KC, now Crown Counsel for Victoria. My senior mentor is Dr Felicity Gerry KC, who practices in England and Australia. My practice has included serious criminal proceedings, acting for both prosecution and defence, as well as matters involving impaired decision-making, guardianship and powers of attorney.

I served on the executive of Liberty Victoria, including as Secretary and Chair of its Criminal Policy Committee. I represented Liberty Victoria at a parliamentary inquiry on spent convictions, and in various national radio and television interviews. I also served on the executive of ANZAPPL, a binational interdisciplinary association that publishes the peer-reviewed journal Psychiatry, Psychology and Law.

Teaching is an important part of my professional life. I’ve taught university law students, trained practising lawyers, and delivered professional education alongside senior members of the judiciary. I like making difficult concepts accessible. I’ve facilitated AI safety education through BlueDot Impact and delivered a guest lecture on compute governance, covering reporting obligations, regulatory design and enforceability.

In July 2026, I founded Safe AI in Law to help legal professionals engage meaningfully with frontier AI safety research and governance. I secured initial funding and a co-founder, launched the initiative and began developing educational resources which now reach hundreds of senior professionals each week.

During the Gen Stream Residency, I designed and delivered an applicant-screening system for a compute-governance programme, including an assessment rubric, database and reviewer web application.

I’m interested in model capability and propensity evaluations, mechanistic interpretability, AI incident response, compute governance, AI risk (systemic and catastrophic), and the fair and equitable implementation of AI systems. I’ve undertaken model behavioural research on legally relevant indicators of fault in LLMs, and co-authored an AI incident response paper. Practising at the criminal Bar has taught me to be exacting about evidence: what it establishes, what it doesn’t, and how far an expert’s opinion can properly be taken. Courts routinely make consequential decisions on incomplete evidence, often in the face of competing accounts and considerable uncertainty. That same forensic discipline has much to offer the evaluation and governance of advanced AI systems.

I’m currently a SPAR fellow working with Dr Elija Perrier on research bridging mechanistic interpretability and law, particularly whether technical evidence about AI systems can inform legal questions of intention, knowledge and responsibility.

I believe the challenges of transformative AI demand concerted, cross-disciplinary effort. I enjoy working across disciplines and welcome opportunities to collaborate on research, governance and practical interventions.

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