Hi, I’m Jess

I develop AI and machine learning tools for governments.

I am 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. This website is intended to be an informal showcase for some of the projects I’ve worked on, and maybe some other creative stuff.

I have worked on a wide variety of projects:

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

I have Master of Public Policy degree from the University of Toronto and a Master of Science in Statistical Science degree from the University of Oxford. Please contact me if you want to collaborate!

Projects - Page 2 of 2

Increasing the Efficacy of the G7 and G20 Using Predictive AI

Data collected by the G7 and G20 Research Groups has made it possible to produce data-driven estimates of the probability that each member nation will meet their summit commitments. I developed this predictive model to enable Sherpas to better allocate resources towards at-risk commitments, thus making the G7 and G20 more effective.

As cities recover from the COVID-19 pandemic, there is a pressing need for fare-dependent transit agencies to have access to a reliable forecast of post-pandemic ridership recovery. I developed a machine learning-based forecast of this important metric for Infrastructure Canada.