Quantitative professional with formal reasoning and statistical training. Advises industry, government, and not-for-profit leaders on how to responsibly develop, deploy, and oversee AI systems. Holds First Class Honours in Mathematics and Philosophy.
Senior AI Specialist, Technical Governance and Assessment — Gradient Institute, Melbourne
April 2026 – present
Manage advisory engagements on responsible AI development, implementation, and governance, currently working primarily with financial services organisations.
Design frameworks and assessment tools that turn emerging research and practice into guidance and testable criteria for generative and agentic AI.
Represented investors in the governance of two social impact bonds (~$10.5m) tied to outcomes in homelessness, recidivism, and school engagement.
Developed investor positions on counterfactual baselines through statistical analysis, proposing mechanisms to account for long-tail distributions and small sample sizes.
Coordinated performance review processes across government, investors, and service providers to align on performance measures and payment outcomes.
Built cost-benefit, forecasting, and outcomes-based pricing models (Excel, R, and Python) to support investment and policy decisions.
Led external engagement across ~50 workshops and ~100 interviews with senior government officials and not-for-profit leaders to inform strategies, business cases, and evaluations.
Earlier career
Deloitte (2021), Visagio (2020–21), System Health Lab (2019–21)
Capital portfolio management, statistical modelling, and formal ontology research.
Education
Bachelor of Science with First Class Honours, Mathematics and Philosophy
University of Western Australia, 2020
Honours thesis on electoral systems with formal proof — read more.