Research Overview

I am a research fellow at Lancaster University. My research focusses on three key areas:

1) Developing novel methods for the detection of anomalies, particularly in streaming data.

2) Data-driven mathematical modelling. I work on a range of use cases from satellite networks and multimedia delivery to wind turbine condition monitoring. I leverage statistical, ML, and mathematical AI tools to do this.

3) AI and Data Science for Cybersecurity. In partnership with UK Government bodies such as the NCSC I lead projects to develop tools for monitoring vulnerabilities and measuring resilience.

I have authored code that is now used by large organisations such as BT and the BBC. One of my methods is now deployed monitoring the UK's national telecommunications infrastructure.

I also take a leading role in Lancaster's network and systems research group. As part of this I work on projects on a range of software-defined, intent-based, and multimedia networking challenges.