I am an incoming PhD candidate at the University of Edinburgh, where I aim to develop modular digital twin frameworks using Bayesian networks for real-time analysis and uncertainty quantification in autonomous systems operating in contested environments. This research is in direct collaboration with the DSTL (Defence Science and Technology Laboratory).
I have previously conducted research in explainable AI at the Zuse Institute Berlin and studied Chemical Engineering at the University of Cambridge, specialising in Transformational Machine Learning. I maintain an ongoing collaborative research with the Faculty of Divinity at Cambridge.
I also serve as a Senior Modelling Engineer at Network Rail, where I co-lead R&D initiatives integrating machine learning and advanced analytics for infrastructure fault prediction. In this capacity, I have engaged with experts from leading firms including Deloitte, Cognizant, Faculty AI, and Arthur D. Little.