Tosin Kolajo Gbadegesin

I am an economist specializing in causal inference and machine learning, with a focus on how policy, markets, and technology shape energy use, urban systems, and economic outcomes.

My work sits at the intersection of economics, data science, and decision-making. I design empirical strategies and build data-driven models to evaluate policy impacts, estimate heterogeneous effects, and generate actionable insights for complex systems.

I have applied these tools in both research and operational contexts, including at the World Bank Group, where I have worked on energy, climate, and development policy analytics.

My recent work uses causal machine learning and quasi-experimental methods to study how climate-driven energy demand affects household behavior, costs, and inequality across the distribution.

I am particularly interested in roles where economic modeling, experimentation, and data-driven insights inform product, strategy, or policy decisions.