About me

I’ve recently wrapped up my PhD thesis, having been a doctoral researcher in quantitative economics at The Alan Turing Institute, during which I held a visiting PhD position at Imperial College London in 2024.

I also received my doctoral training at the University of Warwick, following ealier studies at the University of Manchester. My research focuses on quantitative economics, which combines economic theory with econometrics and machine learning to study economic growth and volatility. In particular, I’m interested in modelling dynamic changes, forecasting, and complex networks, especially for modern economic data with high-dimension observations.

I initiated Quantitative Solution Network in 2021, with funding support from Warwick Doctoral College. This event series bring together PhD students from different subject backgrounds, to share their own experiences, challenges and insights in applying advanced quantitative methods and econometric theory in their research.

Since 2022, I worked with both the public sector (e.g. Department for Transport), FTSE-listed companies (e.g. Johnson Matthey PLC), and financial services sector (e.g. Mastercard) to develop quantitative strategies and apply novel machine learning methods to investigate their empirical challenges. In 2021, I took on the role as the Head of the Nudge Unit at the Warwick Behaviour Insights Team (WBIT).

I’m currently part of the Science Team at The Alan Turing Institute, driving research initiatives by identifying key technological, economic, and policy challenges across industries, applying quantitative and econometric models to generate evidence-based insights, and working closely with clients and stakeholders.

Beyond my daily routine, I play tennis and do horse jumping.