M.Sc. Applied Economics · Economist · Public Policy & Data
Economist with a Master's in Applied Economics and strong expertise in econometric modeling, decision science, and data analysis for public policy. Experienced in developing simulation models, leading empirical research, and implementing data-driven solutions under uncertainty.
My work spans poverty measurement, climate policy evaluation, and geospatial analysis — bridging rigorous economic methods with actionable insights for government and international organizations.
About
I work at the intersection of econometrics, public policy, and data science, with particular depth in poverty measurement and sustainable development indicators. During four years at CONEVAL, I led Mexico's official multidimensional poverty measurement program and coordinated SDG indicator production for national and international reporting.
My current research interests center on the distributive effects of climate policy — how adaptation and mitigation programs affect poverty and inequality at the subnational level, and what political-institutional factors shape the geographic allocation of climate resources. I also study human decision-making under deep uncertainty and the role of decision-support tools in improving policy outcomes.
Experience
Tecnológico de Monterrey — EGobiernoyTP
Coordinate with the School's Research and Faculty Office to support the dissemination of faculty research through platforms such as RePEC and institutional channels. Track and analyze metrics on the School's scientific output, providing insights to strengthen the visibility and impact of academic work. Identify funding opportunities and support the development of research proposals.
Tecnológico de Monterrey
Collaborate in the development and application of the SISEPUEDE model — a simulation tool designed to analyze decarbonization pathways across greenhouse gas emitting sectors — working with World Bank teams for regions including Croatia, Georgia, and Iran.
Perform statistical analysis and econometric modeling focused on the interaction between decision-support tools and human decision-making. Contribute to discussion forums on urban challenges such as housing in Monterrey, designing strategies based on robust decision-making frameworks.
Tecnológico de Monterrey
Support graduate-level instruction in the Master's in Applied Economics program, assisting in Econometrics, Systems Modeling, and Climate Policy. Design and implement practical labs involving econometric analysis, simulation techniques, and climate policy tools.
Tecnológico de Monterrey
Developed statistical analyses and econometric models to study the interaction between decision-support tools and human performance. Evaluated how these tools improve decision-making capacity in contexts of deep uncertainty, contributing to the field of Decision Making under Deep Uncertainty (DMDU).
Presidential House, Government of El Salvador
Collaborated with presidential advisors in diagnosing the national education system. Conducted geospatial analysis and data visualization using R and QGIS to map educational infrastructure and student distribution. Implemented clustering techniques to optimize resource allocation and support strategic decisions for improving the national education system.
CONEVAL — National Council for the Evaluation of Social Development Policy
Led Mexico's official multidimensional poverty measurement program and coordinated SDG indicator production for national and international reporting. Directed the identification and analysis of macroeconomic factors affecting poverty using advanced quantitative methods, informing federal policy recommendations and reporting to the OECD and UN agencies.
Managed labor poverty analysis programs, developed innovative methodologies for indicator tracking, and collaborated with data scientists to push the boundaries of traditional economic analysis.
CONEVAL
Integrated databases from multiple sources to build a robust statistical information system for sociodemographic and economic indicators. Developed calculation programs in R for estimating poverty and Income Poverty Lines, optimizing precision and efficiency in official measurement and monitoring.
Universidad Autónoma Metropolitana
Provided academic support in undergraduate Econometrics courses, facilitating understanding of statistical concepts and techniques through practical and theoretical sessions.
Education
Tecnológico de Monterrey
Thesis: Evaluating the Impact of Decision Support Tools on Human Performance under Deep Uncertainty. Specialization in econometric modeling, climate policy, and quantitative methods for public policy.
Universidad Autónoma de Guadalajara (UDG)
Universidad Autónoma Metropolitana
Foundation in economic theory, statistical analysis, and quantitative methods, with emphasis on development economics and labor markets.
Publications
Published · 2022
Multidimensional Poverty in Mexico in the Context of the COVID-19 Health Emergency
Dimensions — Oxford Poverty and Human Development Initiative (OPHI)
Analysis of COVID-19's impact on Mexico's official multidimensional poverty indicators, examining simultaneous deterioration across health access, educational attainment, and housing dimensions using CONEVAL national measurement data.
Read at OPHI →Methods & Tools
Continuing Education
Contact
Open to conversations about research collaboration, policy consulting, or economic data projects.