Research Center & Group Coordinator, Research And Doctorate Institute
Chile
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Summary
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Senior
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Top School
José Atria is a public sociologist and research leader with 11 years of multidisciplinary experience bridging computational social science, public administration, and education management. He holds a PhD from Columbia University where he developed large-scale computational text analysis over a 127M-token corpus and now focuses on AI applications in social science, especially distributional semantics. In Chilean public service he directed education for a municipality overseeing 35 schools and 8,000 students, combining policy responsibility with hands-on operational leadership. He has led applied research in agrarian economics and public health, advised national programs, and contributed backend refactorings and parallelization features to the widely used quanteda R package. Comfortable shifting between code, statistical design, and stakeholder negotiation, he is also interested in cooperative economics and participatory governance. Colleagues value him for translating complex computational methods into actionable insights for public institutions.
11 years of coding experience
6 years of employment as a software developer
Diploma, Statistics and Data Analysis, Diploma, Statistics and Data Analysis at Pontificia Universidad Católica de Chile
PhD, Sociology, PhD, Sociology at Columbia University in the City of New York
Sociologist, Sociology, Sociologist, Sociology at Universidad de Chile
An R package for the Quantitative Analysis of Textual Data
Role in this project:
Back-end Developer
Contributions:8 commits, 2 PRs, 5 pushes in 3 months
Contributions summary:José's commits primarily focused on refactoring and improving the `quanteda` R package. Key contributions include removing global namespace usage, qualifying standard library member access, and replacing manual dgCMatrix construction with a utility function. The user also implemented parallelization scaffolding for keyness calculations and integrated new keyness lambdas, expanding the statistical analysis capabilities of the package.
Contributions:9 pushes, 1 branch in 7 years 1 month
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