Teaching

I teach across applied economics, quantitative methods, and data analysis at both undergraduate and postgraduate level. My approach emphasises real-world application — I want students to leave not just understanding economic theory but knowing how to use it, how to work with data, and how to think critically about evidence and its limitations.

Much of my teaching is built around quantitative literacy. Whether introducing statistics to undergraduates for the first time or teaching advanced survey methodology and R at Masters level, I try to build both technical confidence and the judgement to know when and how to apply different methods. Students who understand the mechanics of a technique are far better placed to interpret, question, and communicate findings — which matters as much in policy and business contexts as in academic research.

Quantitative Methods & Data Analysis

Module	Level	Institution
Survey Measurement and Analysis	MSc	University of Stirling
Statistics with R	MSc	University of Stirling
Understanding and Using Statistics	MSc	University of Stirling
Statistics for Economics, Business, and Management	UG	University of Stirling
Quantitative Methods	UG	University of York
Statistics	UG	University of Massachusetts, Amherst

Applied and Resource Economics

Module	Level	Institution
Applied Economics – Health Economics	UG	University of Stirling
Environmental Economics	MSc	University of Stirling
Energy and Resource Economics	UG	University of Stirling
Economics of Environmental Management	UG	University of Manchester
Economic Principles: Microeconomics	UG	University of Manchester
Operational Research	UG	University of Manchester

Policy, Markets & Society

Module	Level	Institution
Energy Markets and Policy	MSc	University of Stirling
Hunger in a Global Economy	UG	University of Massachusetts, Amherst
Small Business Management	UG	University of Massachusetts, Amherst