Summary
Sara Franco is an Urban Informatics Consultant and mathematical engineer with 11 years of experience applying quantitative methods to urban policy, public operations, and research projects across academic, public, and international organizations. She blends expertise in optimization, simulation, GIS, machine learning and data visualization to build decision-ready models and indices—most recently developing an urban irregularity index for 500 cities at the World Resources Institute. Her background includes large-scale spatial analyses for The World Bank, experimental and policy impact work at NYU spanning corrections, prosecution, education and policing, and teaching data visualization at Universidad EAFIT. A systemic thinker and active civic advocate, she pairs rigorous computational skills with a track record of translating complex analyses into practical tools for policy makers. She is based in Medellín and brings a rare combination of research depth and hands-on product development focused on improving urban governance.
11 years of coding experience
7 years of employment as a software developer
Master of Science (MSc) Applied Urban Science and Informatics, Master of Science (MSc) Applied Urban Science and Informatics at New York University
Bachelor of Science (B.Sc.) Mathematical Engineering, Bachelor of Science (B.Sc.) Mathematical Engineering at Universidad EAFIT
Spanish, English