About

About

Economist · IDEA / BSE · IAE-CSIC

I am a PhD-track student in the International Doctorate in Economic Analysis (IDEA) at the Universitat Autònoma de Barcelona and the Barcelona School of Economics, and a researcher at the Institute for Economic Analysis (IAE-CSIC). As part of the MOMENTUM Program (CSIC), I work on applying artificial intelligence to prediction and policy-relevant problems.

My research combines economics, econometrics, and machine learning to better understand social dynamics, anticipate crises, and inform decision-making. As part of the EconAI team, my recent work focuses on developing NLP applications and early-warning systems for international institutions such as the German Foreign Office, the United Nations, and the International Monetary Fund.

More broadly, I am interested in how data-driven methods can improve forecasting, identify risks, and support policy design in complex environments.

Previously, I worked as a macroeconomic specialist at Peru’s Fiscal Council, where I focused on macroeconomic modeling, forecasting, and scenario analysis. This experience continues to shape my interest in applied, policy-oriented research.

I value transparent and reproducible research, and enjoy building tools and pipelines that can be easily understood, replicated, and extended.

Research interests

causal inferencemachine learningmacroeconometric forecastingtext as dataearly-warning systemstime series

Positions

  • 2024–Researcher, MOMENTUM Program — Institute for Economic Analysis (IAE-CSIC)
  • 2021–2023Macroeconomic Specialist — Fiscal Council of Peru

Education

  • 2023–MRes / PhD track, International Doctorate in Economic Analysis (IDEA) — UAB & Barcelona School of Economics

Selected publications

All research