I’m an economist based in London working for the UK Financial Conduct Authority.
I’m interested in embedding good research practice in quantitative economics work. That includes designing strong empirical frameworks, using modern statistical methods, and following good working practices for data and code.
My work focuses on using rich microdata to understand consumer behaviour and policy impacts in financial markets.
In particular, I’m interested in applying methods and ideas from machine learning to econometrics.
The London School of Economics, July 2011
MSc Econometrics and Mathematical Economics (res), Distinction
The University of Birmingham, July 2010
Giles, A. and Postl, P., 2014. Equilibrium and effectiveness of two-parameter scoring rules. Mathematical Social Sciences, 68, pp. 31-52.