I am an Economist from Lusaka, Zambia, driven by a belief that rigorous evidence and modern analytical tools can meaningfully improve development outcomes. My interests lie at the intersection of monetary and development economics, public policy, and computational methods, with a particular focus on understanding how individuals and institutions make financial and policy-related decisions.

My work brings together economic theory with machine learning, geospatial analysis, data science, and computational and experimental approaches. I am especially interested in how these tools can help uncover patterns in economic behavior, identify constraints to effective policy, and generate evidence that is both analytically rigorous and relevant to real-world decision-making.

My experience across research and public-sector implementation has shaped the way I think about development challenges. It has made me particularly interested in the gap between how policies are designed and how they work in practice, where institutions, incentives, behavior, geography, and local context can all influence outcomes. I am drawn to questions that connect these realities with new analytical and technological approaches.

Ultimately, my goal is to contribute research and practical solutions that strengthen economic decision-making and public policy, particularly in developing economies. I am interested in work that not only advances our understanding of economic behavior, but also helps policymakers and institutions design interventions that are responsive to the people, places, and systems they are intended to serve.