I completed my undergraduate studies in Mathematical Science, majoring in Computer Science and Mathematics, followed by an Honours degree in Computer Science. I am currently pursuing a Master’s in Computer Science within the RAILS lab.

My research interests lie in understanding how intelligent systems can learn from financial markets and make robust, adaptive decisions under uncertainty. I am particularly interested in building models that can generalise across different market conditions, adapt continuously as new data arrives, and support risk-aware decision-making in complex environments.

My main focus areas include reinforcement learning, Bayesian methods, probabilistic modelling, time series analysis, stochastic processes, and their applications in algorithmic trading, portfolio optimisation, and financial forecasting.