Diego E. Rodriguez

Duke University

311 South Lasalle Street

Durham, North Carolina 27705

I am a graduate student at Duke University, pursuing a Master of Interdisciplinary Data Science. My academic journey spans the domains of artificial intelligence, digital infrastructure, and process automation. I am passionate about developing scalable, data-driven solutions to tackle systemic challenges, with a focus on enhancing organizational efficiency.

Prior to joining Duke, I worked as a data analyst, where I led automation initiatives that optimized workflows at the Central Bank of Chile. These projects not only improved efficiency but also deepened my interest in the intersection of data science, digital transformation, and public policy. Among my most rewarding experiences was designing customized automated systems that addressed specific institutional needs, solidifying my drive to understand and improve complex information ecosystems.

My academic foundation includes a dual Certificate in Data Analytics from MIT and the University of Chile, as well as a Bachelor’s degree in Economics and Management from the University of Chile. These programs ignited my passion for applying data-driven approaches to real-world problems. I have also collaborated on analytical projects with leading institutions such as the OECD and the Central Bank of Chile, focusing on policy evaluation and enhancing data-driven decision-making processes for policymakers.

My research interests lie in machine learning, process automation, and digital governance. I am particularly intrigued by the potential of artificial intelligence to transform public service delivery, address inequality, and create accessible systems for underserved communities.

latest posts

Feb 18, 2026	DiD Is Not Just One Method — Why Staggered Programs Need a Better Yardstick
Oct 07, 2025	How to analyze the Black Box - A Look into GradCAM
Apr 13, 2025	Unlocking Economics, How AI democratize data access

selected publications

Unsupervised ML

Independent fiscal institutions: A typology of OECD institutions and a roadmap for Latin America

OECD Economics Department Working Papers, Paris, Jan 2024

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The paper reviews the diverse experience of OECD countries in establishing and running independent fiscal institutions, offering insights that could be useful for Latin American countries seeking to set-up and strengthen those institutions in the region. Through cluster analysis, we identify different types of OECD independent fiscal institutions and draw practical lessons from cases studies. We also identify key features that could serve as a road map for Latin American countries in their efforts to establish or enhance independent fiscal institutions.
Commodity Prices

Copper Prices

Minutes Cited in the Monetary Policy Report, Santiago, Jun 2024

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The recent rise in copper prices, driven by supply constraints and robust demand fueled by the global energy transition, has prompted a revision in the projected price for 2024-2026 from 3.85 to 4.30 per pound in the central IPoM scenario. While part of this increase is linked to transitory factors, such as speculative activity and risk appetite, over half is expected to persist due to structural demand shifts and geopolitical influences. This sustained rise is anticipated to stimulate mining investment and related sectors, improve terms of trade, and contribute to peso appreciation, impacting domestic demand and inflation. The effects on monetary policy and economic dynamics will continue to be assessed.
Supervised ML

Risks to International inflation convergence

MT; Pustilnik, and Wlasiuk JM

Minutes Cited in the Monetary Policy Report, Santiago, Mar 2024

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The decline in global inflation since mid-2022 has been driven primarily by falling goods prices, aided by normalized supply chains, lower transportation costs, and reduced commodity prices. However, services inflation remains high, and recent reversals in deflationary pressures—such as rising transportation costs and an uncertain energy outlook—pose risks. China’s macroeconomic slowdown has contributed to disinflation, but this effect may diminish if its consumption and industrial output stabilize. These factors add uncertainty to the pace of global inflation convergence, with supply-side contributions to disinflation waning and new pressures emerging.