Economist and researcher. My work sits at the intersection of decision science, applied econometrics and public policy — studying how institutions and individuals choose under deep uncertainty.
I'm an economist and early-career researcher at Tecnológico de Monterrey. I completed my Master's in Applied Economics with a thesis evaluating how decision support tools affect human performance under deep uncertainty — a line of work I continue as a research programmer on the SISEPUEDE climate policy simulation platform, developed with World Bank teams.
Before joining Tec de Monterrey I spent four years at CONEVAL, where I led Mexico's official multidimensional poverty measurement and its SDG indicators. My work combines econometric modeling, experimental methods and geospatial analysis to inform public policy.
Support the dissemination of faculty research through RePEc and institutional channels, track metrics on the School's scientific output and help identify funding opportunities for the research agenda.
Contribute to SISEPUEDE — a simulation platform for decarbonization pathways in greenhouse-gas-emitting sectors — in collaboration with World Bank teams across Croatia, Georgia and Iran. Design econometric models on the interaction between decision support tools and humans, and take part in policy forums on urban problems such as housing in Monterrey.
Support graduate instruction in Econometrics, Systems Modeling and Climate Policy. Design practical labs and teaching materials on econometric analysis, simulation techniques and climate policy tools.
Advised presidential staff on a diagnosis of the national education system. Built geospatial analyses and maps in R and QGIS, and applied clustering to inform decisions on school infrastructure and administrative efficiency.
Statistical analyses and econometric models on the interaction between decision support tools and humans, contributing to research on Decision Making under Deep Uncertainty.
Led the analysis of macroeconomic factors behind poverty and the estimation of SDG indicators for Mexico. Improved calculation methodologies, built labor-poverty analysis programs and represented the institution in policy forums and consultative meetings.
Integrated data from multiple sources into a statistical system for socio-demographic and economic indicators. Built R programs for poverty and income-poverty-line estimation.
Academic support in undergraduate Econometrics through practical and theoretical sessions.
Contributed to the 2016 official poverty measurement: data validation and calculation programs.
Thesis: Evaluating the Impact of Decision Support Tools on Human Performance under Deep Uncertainty.
Exchange semester focused on economics coursework.
Foundation in economic theory, statistical analysis and quantitative methods with a focus on development economics.
Master's thesis (Tec de Monterrey). Experimental and econometric evaluation of how decision support tools affect human performance in deeply uncertain environments — a contribution to the broader research program on Decision Making under Deep Uncertainty.
Research programmer on the SISEPUEDE platform, a simulation framework for sectoral decarbonization pathways in greenhouse-gas-emitting regions. Developed with World Bank teams and applied to Croatia, Georgia and Iran, among other country studies.
Engagement with the Presidential House of El Salvador: geospatial analysis and clustering of school infrastructure to support presidential advisors in the diagnosis of the national education system.
Analysis of the impact of COVID-19 on multidimensional poverty indicators in Mexico, examining changes across the health, education and living standards dimensions.
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