Eradul Kabir is a Research Assistant at the What Works Hub for Global Education, contributing to Pillar 3 of the Hub, which focuses on implementation science in education. His research interests include causal inference in social science, particularly in evaluating the effectiveness of education interventions and policy. Erad holds an MSc in Development Economics and Policy from the University of Manchester, where his research examined the comparative strengths of machine learning and traditional econometric methods in estimating causal effects from observational data, applying these approaches to assess the impact of an education intervention in low-income households.
