Emily helps organisations navigate AI adoption by bringing rigorous technical thinking to governance, policy, and risk decisions, particularly where evidence is incomplete and decisions cannot wait. She works across Gradient's advisory projects, helping organisations adopt AI safely and responsibly.
She holds a Bachelor of Science with First Class Honours in Mathematics and Philosophy from the University of Western Australia. Her thesis introduced a formal definition of representation in representative assemblies, enabling comparison across voting systems.
At System Health Lab, Emily contributed formal logic definitions to ontology development and co-authored research on modelling relationships within engineering systems.
At Social Ventures Australia and Deloitte, Emily built statistical and payment models underpinning social impact bonds and led evaluations of social programs. She facilitated consultation processes with executives, senior government officials, and not-for-profit leaders. Her work focused on translating technical analysis into clear, practical advice for decision-makers.