Georgina is part of Surrey DataHub, where she specialises in AI-enhanced social listening techniques to extract meaningful insights from complex online discourse. Her published research presents an innovative end-to-end methodology for social media data collection, cleaning and analysis combining natural language processing (NLP), sentiment classification and Non-Negative Matrix Factorisation (NMF) topic modeling. Her work advances the understanding of public sentiment and discourse around animal health issues through data science methods.
A chartered information professional who graduated from City University with a Master's degree in Information Science in 2004, Georgina's career spans higher education, financial services and technology sectors. Previously with the Veterinary Health Innovation Engine (vHive), she architected the data infrastructure and governance framework for a pioneering animal health data innovation hub.