What I do: As the first AI Librarian at the University of Chicago, I help shape the university's approach to AI literacy and adoption. My work includes teaching workshops and lectures, managing an institutional strategic priority on AI, and developing risk evaluation frameworks used to assess both internal projects and external/vendor tools for research and teaching.

I have a BA in Linguistics from UC Berkeley and an MSE in Computer Science from Johns Hopkins University. I've worked in big tech, startups, nonprofit organizations, and academia, and understand how novel technologies like AI are built, integrated, and received in a variety of contexts and priorities.

Research interests: Methods to identify and 'patch' gaps in model knowledge caused by archival silence and unrepresentative training data, and how these gaps surface as bias and error in AI systems.

Language models learn from data that disproportionately encode the ideas and perspectives of privileged groups, e.g. those historically afforded an education and platform, while underrepresenting others due to factors like data quality, language, and OCR failures. People without access to education have been systemically silenced.

AI literacy is becoming a gatekeeping competency. Without it, people are excluded not just from professional opportunity, but also from participating in decisions about the systems that impact everyday life. My work centers on expanding who can meaningfully participate in AI development, evaluation, and governance. Addressing bias and harm requires contributions from different academic fields and the communities affected by these systems, and these individuals are often non-technical.

What I'm developing: an open and modular AI education program for non-CS and interdisciplinary learners with no assumed prerequisite knowledge. Unlike most AI education resources, it prioritizes literacy, critique, and responsible use over technical career placement.

Prequel: Gaita is a conversational RAG system that generates personalized Computer Science learning pathways from open-access courseware. Inspired by my own transition into tech, Gaita was designed to make CS education accessible to learners from non-technical and non-traditional backgrounds.