Andrew Eyles is a data scientist in the private sector and an associate at the Centre for Economic Performance. Primarily an applied labour economist, his research interests are the economics of education and social mobility. His work has featured in the Guardian, the Telegraph, the Times, and the Economist. He is also a PhD candidate (economics) at University College, London.
Current areas of research include:
- Determinants of human capital accumulation and their effect on socioeconomic differences in academic attainment.
- The long run effect of Covid-19 on intergenerational mobility.
- The use of machine learning to understand trends in intergenerational mobility and changes in the determinants of mobility over time.