I'm a PhD Student and Early Career Researcher at Cranfield University, studying natural language processing and insider threat. In my free time I am an occasional bug bounty hunter, and make educational cyber security YouTube videos for an audience of almost 10,000 people! Although I am a data scientist/engineer at heart security is really growing on me and it's been great to leverage my data brain to help make the internet more secure. I've now found myself knee deep in cyber security, having reported security vulnerabilities to large organisations such as Verizon Media and the US Department of Defense.
I finish my PhD in Feb 2021 and I'm open to new roles from that date!
I'm interested, primarily, in the application of machine learning, data science and natural language processing in Cyber Security.
I'm interested in applying Machine Learning and Natural Language Processing in Cyber Security. Leveraging my domain knowledge to create tools which supports the complex decision making often needed in Cyber Security. I'm also interested in applying ML/NLP in pentesting and Bug Bounty hunting and I'm working on some new projects in that domain!
My PhD involves the use of NLP techniques to understand an insider threat incident. Using a large amount of reports to explore, visualise and finally understand an attack, without needing to read each report individually. Answering questions like: What was the insiders motivation? What technical approach did they use? What was the outcome of the attack? Providing valuable insights allowing organisational changes which will prevent the next.
Before my PhD my UG dissertation involved the decipherment of an ancient language, automatically using computational techniques. You can watch that here.