With my PhD in data-driven operational risk management, my research focusses on the application of data analytics to operational risk management. It spans across components of the risk management lifecycle, including risk assessment and quantification, causal analysis and monitoring, and is relevant across various sectors.

Also working in industry as a consultant, I dovetail my research with current industry puzzles and subsequently translate my research back into practice, often through industry-linked academic research collaborations. By leveraging data through various machine learning and statistical learning tools, my research aims to assist organisations in more effectively and efficiently managing their operational risks.