Communications of the ACM
Fighting Crime Online: Options, evidence, and the empirical case for judicial site blocking in the U.S.
Synthesizes evidence on judicial site blocking as a policy lever for reducing online criminal activity.
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My research examines how technology—particularly artificial intelligence—affects labor markets, productivity, inequality, and organizational decision-making. I use tools from economics, statistics, and machine learning to measure real-world impacts, often combining large administrative datasets with novel data sources. Much of my work is motivated by a simple question: how do new technologies change what people do, and who benefits as a result?
Download CVSelected Research
These publications are particularly relevant to expert witness matters involving platform economics, website blocking damages, AI performance evaluation, and technology-driven market dynamics.
Review of Economic Research on Copyright Issues
From Bootleg to Binge: User Migration and Legal Demand Following Brazil’s MegafilmesHD Shutdown
Analyzes substitution between piracy and legal streaming after platform shutdown, with heterogeneous adoption effects by income.
Read PaperManagement Science
How APIs Create Growth by Inverting the Firm
Documents growth gains from API adoption and platform openness, while quantifying associated governance and security tradeoffs.
Read PaperMIS Quarterly
The Effect of Piracy Website Blocking on Consumer Behavior
Finds that coordinated blocking of multiple piracy sites can meaningfully shift behavior toward legal consumption channels.
Read PaperMedia-Ready Summaries
Quick-reference summaries for journalists covering AI, labor, and technology policy.
How APIs Create Growth by Inverting the Firm
Finding: API adoption drives firm growth by enabling external developers to build on internal capabilities, but introduces governance and security tradeoffs.
Why it matters: Explains the economic logic behind platform openness—and why restricting API access can be anticompetitive.
Monitoring war destruction from space using machine learning
Finding: Machine learning models trained on satellite imagery can detect conflict-related building destruction at scale.
Why it matters: Won the 2023 BBVA Foundation Award. Enables damage monitoring in conflict zones where ground access is impossible.
The Effect of Piracy Website Blocking on Consumer Behavior
Finding: Coordinated blocking of piracy sites shifts consumer behavior toward legal channels.
Why it matters: Provides the empirical foundation for judicial site-blocking policy in the US and internationally.
Research Interests
- AI Strategy and Societal Impacts
- Human-AI Collaboration & Decision Support
- Platform Economics
- API and Technology Strategy
- AI for Social Good & Development
Publications & Working Papers
Communications of the ACM
Fighting Crime Online: Options, evidence, and the empirical case for judicial site blocking in the U.S.
2025
Synthesizes evidence on judicial site blocking as a policy lever for reducing online criminal activity.
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Review of Economic Research on Copyright Issues
From Bootleg to Binge: User Migration and Legal Demand Following Brazil’s MegafilmesHD Shutdown
2025
Analyzes substitution between piracy and legal streaming after platform shutdown, with heterogeneous adoption effects by income.
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Explorations in Economic History
Sweet diversity: Colonial goods and the welfare gains from global trade after 1492
2023
Estimates large historical welfare gains from imported consumption variety and changing food baskets in Europe.
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World Bank Economic Review
Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being
2022
Uses high-resolution imagery to estimate consumption and poverty with robust out-of-sample performance.
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Journal of Economic Behavior & Organization
Car accidents, smartphone adoption and 3G coverage
2022
Links smartphone diffusion and network coverage to measurable increases in accident risk, with policy implications for road safety.
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Management Science
How APIs Create Growth by Inverting the Firm
2022
Documents growth gains from API adoption and platform openness, while quantifying associated governance and security tradeoffs.
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Machine Learning with Applications
Hybrid U-Net: Semantic segmentation of high-resolution satellite images to detect war destruction
2022
Introduces a multi-scale segmentation architecture that improves detection of conflict damage in high-resolution satellite images.
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Proceedings of the National Academy of Sciences
Monitoring war destruction from space using machine learning
2021
Develops machine-learning methods to detect conflict-related infrastructure destruction at scale from satellite imagery.
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Information Technology for Development
Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning
2021
Shows that open satellite feature sets can improve poverty prediction performance and reduce cost barriers for policy analytics.
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MIS Quarterly
The Effect of Piracy Website Blocking on Consumer Behavior
2020
Finds that coordinated blocking of multiple piracy sites can meaningfully shift behavior toward legal consumption channels.
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IZA World of Labor
Big Data in Economics
2018
Explains how high-frequency, high-volume data and machine learning methods are transforming empirical economics and policy design.
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NeurIPS 2017 ML for the Developing World Workshop
Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico
2017
Demonstrates how CNN models trained on satellite imagery can estimate poverty distribution with meaningful predictive power in low-data settings.
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