Jose Aguilar

Job title: 
Data Science & AI Fellow 2025-2026
Department: 
Berkeley Graduate School of Education
Bio/CV: 

Jose R. Aguilar is currently a PhD student in the Policy, Politics, and Leadership program at UC Berkeley’s School of Education. His research utilizes natural language processing, machine learning, and social network analysis to investigate how institutional discourse, algorithmic decision-making, and education policy influence postsecondary access and equity for marginalized students. Before Berkeley, Jose earned his M.A. in Urban Education from Loyola Marymount University and dual B.A./B.S.A. degrees in Government, Latina/o Studies, and Computer Science from the University of Texas at Austin. Additionally, he was a high school teacher in computer science and math in Los Angeles and worked on education policy research at Education Trust–West, the Campaign for College Opportunity, and the Lumina Foundation.

Research interests: 

 Education, Public Policy, Organizations, QuantCrit

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