Adrian Gepp has experience in teaching at a tertiary level that spans undergraduate, postgraduate and online education in statistics, economics and finance. Adrian’s primary research interest is in applying statistical modelling techniques to reveal unique insights about problems of economic and social importance, such as business failure prediction and fraud detection. He has also produced papers on economic models for cross-border river systems, semidefinite optimisation in business, car insurance fraud and evolving quantum algorithms. Overall, he has published five peer-reviewed journal articles, including in the prestigious Journal of Forecasting, and many conference publications. In addition to presenting his research at numerous corporate education events, he has also taken an organising role at several.
My research interest is in using big data and predictive modelling to reveal unique insights about problems of economic and social importance. My research spans fraud detection, fintech, health analytics, marketing analytics, business failure prediction, workplace design and other predictive modelling in business.