A computer scientist and software developer, Victoria Hodge is a Senior Researcher in the Digital Creativity Labs within the University of York’s Department of TFTI. Her research focuses on Artificial Intelligence (AI), Machine Learning, Data Mining and Anomaly Detection across a variety of domains.
Victoria has authored over 60 publications covering: Machine Learning and AI; Neural Networks; Anomaly Detection; Big Data Frameworks; Parallel and Distributed Data Processing; Pattern Matching and Search; Data Analytics; Information Retrieval; and Classification.
She holds a PhD in computer science from University of York and a Bachelor of Science (B.Sc. Hons) degree from University of York.
She has worked in industry as a software architect for a medical diagnostics application; and as a software developer on applications including: condition monitoring in industrial environments, anomaly detection in large-scale time-series data sets, and deep reinforcement learning for robot navigation. She has also developed an architecture and visualization framework for scientific workflows.
Bachelor of Science (B.Sc. Hons) in Computer Science
University of York
Ph.D. in Computer Science
Integrating Information Retrieval & Neural Networks
University of York