Bio

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.