Santiago Segovia

Santiago Segovia is an Economic Analysis and Data Management Fellow at Harvard’s Growth Lab, where he applies his expertise in data science, economics, and policy analysis to support research on global economic growth. He holds a Bachelor’s and Master’s in Economics from Universidad Externado de Colombia and a Master’s in Computational Analysis and Public Policy (MSCAPP) from the University of Chicago.

Prior to joining Harvard, Santiago served as a Senior Advisor in the Financial Stability Department at the Central Bank of Colombia, where he led the implementation of AI-driven tools to enhance policy decision-making and strengthen financial stability frameworks. His role also involved international collaborations to train advanced and emerging economies in financial stability methodologies.

He gained further international experience as a consultant with The World Bank, leveraging geospatial data for spatial welfare analysis. His technical proficiency spans data science, machine learning, and geospatial analysis, with several impactful projects developed at the University of Chicago’s Data Science Institute, where he contributed to community-driven initiatives. As a Summer Fellow at Imago Global Grassroots, Santiago used data science techniques to evaluate the impact of large-scale social development programs in India, specifically analyzing women-led initiatives.

His diverse experiences reflect a commitment to using data-driven insights to address global economic and social challenges.