Mathematics & Data Science graduate with a focus on AI-driven financial modelling, signal research, and applied machine learning in quantitative systems.
I am a quantitative researcher and mathematician with a strong foundation in statistical modelling, machine learning, and financial time series analysis. My academic journey at King's College London gave me rigorous training in both pure mathematics and applied data science.
My research interest sits at the intersection of AI infrastructure and financial markets — specifically how intelligent agent systems can accelerate research iteration and decision-making in institutional settings like FICC and alpha research.
I am currently applying to the PhD programme at the University of Hong Kong, where I aim to develop reproducible, AI-augmented frameworks for financial signal discovery and portfolio construction.