Biography
Prashant Garg is a Postdoctoral Researcher in Inequality, Social Policy, and Social Mobility at the University of Oxford’s Department of Social Policy and Intervention, working within the INET Oxford programme on Economics, Inequality, and Opportunity. His research combines large-language-model methods, causal inference, and network analysis to study economic and social inequality in high-income countries. He works with Prof. Zachary Parolin to develop new approaches for understanding how policy, technological change, and social mobility interact to shape inequality.
Prashant’s research agenda spans three areas: (1) the incorporation of AI and large-language-model pipelines into inequality research and empirical social science; (2) the measurement and explanation of rising inequality using large administrative, survey, and digital datasets; and (3) the dynamics of knowledge diffusion and scientific communication in economics and public policy. His work builds large-scale datasets, develops measurement tools, and applies causal and computational methods to analyse how social and economic disparities emerge, persist, and change.
He completed his PhD in Economics & Public Policy at Imperial College Business School and was a Visiting Researcher in Computer Science at the University of Cambridge and at IFC (World Bank Group).
