Richard Mccreadie

Dr. Richard McCreadie is a Senior Lecturer in Computing Science at the University of Glasgow, specializing in Information Retrieval, Machine Learning, and Digital Finance. His research focuses on real-time data processing, financial asset recommendation systems, and crisis informatics. He leads the Information Retrieval Group and co-chairs the TREC Incident Streams initiative, advancing methods for actionable information extraction from social media during emergencies.

Education: PhD in News Vertical Search using User-Generated Content (2012). Active collaborations include the FAR-AI platform for investment recommendations and the Event Tracker system for disaster response.

Research Interests: His work bridges academia and industry, emphasizing practical applications in fintech, social media analysis, and event detection. Recent trends include leveraging large language models (LLMs) for personalized financial advising and robust vision transformers for crisis image classification.

Grants & Projects: Key contributions include the TREC-IS track evaluations, Agile IR experimentation frameworks with Terrier, and the SUPER project for emergency management using social sensors. He has led over 75 publications in top venues like SIGIR and ECIR.

Labs/Teams: Part of the Information, Data and Analytics section and collaborates internationally on AI-driven financial systems and disaster informatics platforms.