Katie is a lecturer of Cyber Security at Manchester Metropolitan University and an Early Career Researcher in the domain of Security Research. She holds a PhD from Cranfield University, where she studies natural language processing and insider threat. Her research roughly revolves around the intersection of AI/ML and Infosec, both in how AI/ML can improve security applications and processes, supporting practitioners rather than supplanting them and the security of AI/ML systems.

Katie is passionate about pedagogy and teaches in MMU's Cyber Security degree program at Degree Apprenticeship, Undergraduate, and Postgraduate levels. She is particularly interested in new teaching methods and often incorporates gamification and interactivity into lectures. She speaks regularly at conferences and events and has had the pleasure to speak at CISA's (Cyber Security and Infrastructure Agency) Cybersecurity Summit, BlackHat, British Computing Society, OWASP (Open Web Application Security Project), as well as events with industry partners.

In her free time, she is an occasional bug bounty hunter, and creates educational cyber security YouTube videos for an audience of over 30,000 people! She used to work at Bugcrowd, supporting the community team on all things infosec and bug hunting.. Although she is a data scientist/engineer at heart, security has truly grown on her—and she loves leveraging her data skills to help make the internet safer. Katie has now found herself deeply immersed in cyber security, having reported vulnerabilities to major organizations such as Verizon Media and the U.S. Department of Defense.