Summary
Tobias Lunt is a CTO and co-founder who leads data engineering, analytics, geospatial, and visualization at Development Data Lab, turning messy, large datasets into policy-relevant insights to fight poverty. With over a decade in development economics and data science, he has applied Stata, Python, GIS, and parallel computing to poverty research and tool-building. At The World Bank, he built bespoke software to streamline research and reduce compute time, enabling robust causal inferences from complex spatial, panel, and time-series data. His Fulbright in Ethiopia involved MCMC simulations, ANOVA, and Random Forest analyses to study climate-smart agriculture and food security. He blends academic training from Dartmouth and UW–Madison with production-ready software and data platforms, shaping solutions from research to deployment. Based in Madison, Wisconsin, he champions open-source data and software to accelerate development impact and build reproducible tools that scale across organizations.
10 years of coding experience
4 years of employment as a software developer
Master's Degree, Agroecology and Plant Pathology, Master's Degree, Agroecology and Plant Pathology at University of Wisconsin-Madison
BS, Environmental Studies, BS, Environmental Studies at Dartmouth College
french (intermediate), italian (intermediate)