Jess Rapson

Jess Rapson

Jess is a machine learning engineer with a multidisciplinary background in both statistical science and public policy, focusing on applications of AI/ML in optimising decision-making processes for organisations that serve the public.

She has worked on a wide variety of projects, including:

– Machine learning tools to inform infrastructure funding decisions for Infrastructure Canada
– Predictive AI to improve global governance effectiveness for the G7 Research Group
– Data science in humanitarian aid and global development for the Future Impact Group
– Research into developing novel spatio-temporal forecasting methods for the University of Oxford
– Automated neural network forecasts of flooding in South Sudan for the United Nations High Commissioner for Refugees and Médecins Sans Frontiers

As Director of the Algorithmic Governance Foundation, Jess aims to develop algorithmic solutions to pressing global issues in cooperation with public sector decision-makers.

Jess has a Master of Public Policy degree from the University of Toronto and a Master of Science in Statistical Science degree from the University of Oxford.

Share this speaker
Share This Speaker
  • Organization
    Algorithmic Governance Foundation
  • Profession
    Director
  • Young AI Leaders Community

    Hub Leader
    20 January 2025 - 2029
    Oxford Hub
    Europe
    United Kingdom