Kevin Nolan is a PhD researcher at Ulster University. He obtained an undergraduate degree in theoretical physics from University College Dublin, and spent two years working as a quantitative risk analyst and model developer at Allied Irish Bank. His PhD is focused on the use of machine learning to model chaotic systems, and his research interests include machine learning, neural networks, time series analysis and nonlinear dynamics. He is part of the Artificial Intelligence Research Centre (AIRC) and his PhD is associated with the PwC ARC project.