Datasphere

Fellowship Program

Fellow

Yael Cervantes

The current data revolution compels us to develop sophisticated tools that are adept at tackling the critical challenges of accountability, privacy, and ethical usage. Such advancements are essential to ensure that our policies are informed by and grounded in reliable, evidence-based data.

The current data revolution compels us to develop sophisticated tools that are adept at tackling the critical challenges of accountability, privacy, and ethical usage. Such advancements are essential to ensure that our policies are informed by and grounded in reliable, evidence-based data.

Yael Cervantes is a first-year master’s student at MIT in the Technology and Policy Program. Previously, he graduated from the Center for Research and Teaching in Economics (Mexico), with a degree in Economics. After graduating he worked at the Central Bank of Mexico in the division of Economic Research and volunteered in NGOs focused on public policy.

His interests are development economics, machine learning, causal inference, and econometrics. His research at the MIT Low-Income Firms Transformation Lab (LIFT) aims to enhance the supply chain management of micro and small enterprises in Latin America.

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