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

Role: 
Data Science & AI Fellow 2025-2026

Topics

APIs topic page, Bash or Command Line topic page, Data Sources topic page, Data Visualization topic page, Databases & SQL topic page, Diversity in Data topic page, Excel topic page, Git or Github topic page, HTML / CSS topic page, Javascript topic page, LaTeX topic page, Machine Learning topic page, Natural Language Processing (NLP) topic page, Python topic page, R topic page, RStudio topic page, Social Network Analysis topic page, SQL topic page, STATA topic page, Text Analysis topic page, Web Scraping topic page

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