United Kingdom
Cybersecurity Researcher with a PhD in Visual Explainability for Malware Detection | Birkbeck, University of London I specialise in Explainable AI, object detection, Bayesian approximation, multi-label classification, and LLM-based reasoning for cybersecurity. My research focuses on developing interpretable malware detection systems by integrating visual attribution, uncertainty modelling, and language-based reasoning to uncover and explain key behavioural patterns. With experience across static, dynamic, and hybrid detection techniques, I have contributed to behaviour-based dataset generation, robust visual explanation methods, and multi-agent LLM reasoning to support transparent and trustworthy threat analysis.