Emily Low

Melbourne / Perth · LinkedIn

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.

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Experience

Senior AI Specialist, Technical Assessment and Governance — Gradient Institute, Melbourne

April 2026 – current

Manage advisory engagements on responsible AI development, implementation, and governance.
Develop frameworks and tools that combine technical evaluation (performance, failure modes) with governance assessment (accountability, oversight) of AI systems.

Manager, Impact Investing — Social Ventures Australia, Melbourne

October 2024 – March 2026

Represented investors in the governance of two social impact bonds (~$10.5m) tied to outcomes in homelessness, recidivism, and school engagement.
Led the analysis and process for performance review and counterfactual negotiations, working with government, investors, and service providers to align on performance measures and payment outcomes.

Senior Consultant, Quantitative Modelling — Social Ventures Australia, Melbourne / Perth

December 2021 – September 2024

Built quantitative and financial models in Excel, R, and Python to support funding, investment, and policy decisions.
Led external engagement across ~50 workshops and ~100 interviews with senior government officials and not-for-profit leaders.

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.