RAG Pipelines and AI Discovery Tools for Academic Libraries
Exploring how retrieval-augmented generation and AI-driven search tools are transforming how academic libraries surface and deliver knowledge to researchers.
Professional Summary
I am a scholar-practitioner leading the integration of AI into academic research and higher education. I am fascinated by the science behind computing and technology, and I use that curiosity to build the infrastructure—pipelines, datasets, and search tools—that turn raw information into navigable knowledge. By blending a background in computational social science with data science, my work spans the full lifecycle of AI in higher education, from infrastructure architecture and institutional governance to the critical evaluation of models and the cultivation of AI-literacy in research. I advocate for an Auditable AI future that balances rapid innovation with institutional compliance.
Education
PhD Political Science
2017-08-01
2022-12-12
Arizona State University
MS Data Science
2025-12-16
2024-08-08
University of Arizona
BS European Studies and Economic Sciences
2008-09-15
2012-05-31
Qafqaz University
Research
Faculty AI Adoption
What predicts sustained AI integration among faculty? Using survey and behavioral data, I model adoption depth as a function of prior technology experience, disciplinary norms, and institutional support — drawing on diffusion of innovations and TAM frameworks.
AI in Academic Research Workflows
How do AI-assisted tools affect research productivity, literature coverage, and knowledge synthesis? I examine causal effects on output quality and citation diversity, with attention to where automation introduces epistemic risk.
AI Governance & Policy Effectiveness
Comparing AI governance frameworks across institutions, I measure how policy stringency, enforcement mechanisms, and faculty buy-in jointly predict responsible use outcomes — testing which governance levers actually change behavior.
Institutional AI Readiness
I am developing a validated readiness index where infrastructure capacity, human capital, and governance maturity serve as predictors of successful large-scale AI adoption — with the index calibrated against observed adoption rates.
Projects
Tools, datasets, and platforms I have built to support AI-driven research and academic workflows — from discovery infrastructure to open-source libraries.
Talks & Presentations
AI Governance Frameworks for Academic Institutions
A talk on building auditable AI governance frameworks within academic and research institutions, balancing innovation with institutional compliance.
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