About me

I'm a final-year PhD candidate at Queen Mary University of London and a visiting student at the Oxford-Man Institute of Quantitative Finance.

My research focuses in the development of learning algorithms for sequential decision-making in dynamic, non-stationary environments. My work uses filtering techniques to tackle challenges in online continual learning, neural contextual bandits, time-series forecasting, and reinforcement learning.

I'm particularly interested in developing agents that make decisions under uncertainty and model misspecification, as well as know what information to consider when faced with stale data and ever-changing environments.