Caitlin Gray

Caitlin Gray is currently a Senior Applied Scientist at A9 / Amazon, leading the science roadmap for user reach forecasting within the inventory forecasting team. They develop predictive models using machine learning and generative modeling to assist advertisers in understanding campaign outcomes. Caitlin previously completed their PhD in Applied Mathematics at the University of Adelaide and held internships at Woodside Energy and YourAmigo, focusing on data science and mathematical research. They also contributed to Amazon's A9 team as an Applied Scientist intern, utilizing unsupervised learning methods to analyze user behavior in advertising.