Summary
Magdalena Bennett is a research scientist and economist specializing in the economics of education and causal inference, with nine years of experience spanning academia, large-scale field experiments, and survey science. She has held roles from research analyst at J-PAL designing RCTs to assistant professor at UT Austin and now serves on Meta鈥檚 Demography and Survey Science team, blending rigorous methods with applied policy questions. Her work bridges advanced causal methods, large administrative and experimental datasets, and practical measurement challenges in education and demography. Trained at Columbia and LSE with engineering roots from Pontificia Universidad Cat贸lica de Chile, she pairs quantitative rigor with systems-minded problem solving. Colleagues describe her as a data-loving technocrat who brings both pedagogical experience and field-tested evaluation skills to complex measurement problems. An often-overlooked strength is her sustained track record of translating experimental designs into scalable data collection systems for real-world policy settings.
9 years of coding experience
13 years of employment as a software developer
Master en Ciencias de la Ingenier铆a, Microeconom铆a aplicada, Master en Ciencias de la Ingenier铆a, Microeconom铆a aplicada at Pontificia Universidad Cat贸lica de Chile
Doctor of Philosophy (PhD), Economics and Education, Doctor of Philosophy (PhD), Economics and Education at Columbia University in the City of New York
Master of Science (MS), Social Policy (Research), Master of Science (MS), Social Policy (Research) at London School of Economics and Political Science
English, Spanish