Personal profile

Research overview

I am a PhD Candidate in FinTech at the University of St Andrews Business School, funded by the School of Management PhD Studentship.

I hold an MSc in Banking and a BSc in Mathematics with respective specialisations in the intersection of Finance and Technology, and in Artificial Intelligence within Digital Analytics. For this period, I held funding under BP STEM Scholar status to specialise in crude oil market crisis forecasting (with focus on neural networks).

My current doctoral research adopts a machine learning approach to monitoring financial decision-making, contributing new insights into the impact FinTech could have on the exploitation of financially vulnerable individuals. This project gives me the opportunity to apply innovative computational techniques to develop new methods of analysis within an emergent body of financial research, producing revolutionary applicable techniques to monitor changes in financial behaviours.

My previous research projects explored the implementation of 50-cell LSTM-RNNs in the financial time-series forecasting of crude oil markets.

For the 23/24 academic year, I teach the following:

  • Introduction to Financial Accounting
  • Business Statistics
  • Integrated Case Study
  • Organisations and Society
  • Organisations and Analysis

I am additionally interested in FinTech-backed Investment Modelling and FinTech Regulation.