About

I am an applied economist and statistician at Lancaster University, where I hold a PhD in Economics. My research sits at the intersection of international macroeconomics, innovation and productivity, using applied econometric and time-series methods to study how technology spreads across countries and sectors, and what it means for productivity and labour markets. My working paper, Pre-Grant Patents and Innovation Diffusion, shows that international technology spillovers run mainly through the expansion of the global stock of knowledge rather than through trade.

I currently work as a Research Associate – Statistician on the UKRI-funded project A Multi-Dimensional Understanding of the Digital Far Right, in the Department of Linguistics and English Language, where I develop and evaluate zero-inflated and multivariate statistical methods for sparse text and language data. Read more about the project →

My work is strongly policy-oriented. I have presented my research to the UK Department for Business and Trade, the National Institute of Economic and Social Research (NIESR), the Competition and Markets Authority (CMA) and the Economic Statistics Centre of Excellence (ESCoE), and I write policy briefs on UK productivity, R&D and industrial strategy.

I am also committed to teaching. I have eight years of experience teaching economics, across undergraduate modules at Lancaster University and international research-led programmes, and I am an Associate Fellow of Advance HE (AFHEA). More on my teaching.

Research interests

Applied econometrics · Statistical modelling · Text and language data · Innovation and productivity · International macroeconomics

News

• Oct 2026: Starting as Research Associate – Statistician on the UKRI project A Multi-Dimensional Understanding of the Digital Far Right, Lancaster University.