Joy is a PhD candidate in Information Science & Technology at Syracuse University. She holds degrees in biological sciences and library and information science (LIS). Her research examines biological knowledge organization systems (bio-KOSs) as epistemological tools in scientific knowledge production, communication, and reuse in data-intensive AI-augmented research. In approach to her research interest, Joy applies bibliometrics, NLP, and social network methods to understand when, how, and why different research communities engage with bio-KOSs and what that reveals about the systems across the translational science pipeline. Her broader research agenda connects KO theories to interoperability, trustworthiness, and societal implications of AI-enabled science discovery.

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Joy has published in the Journal of Knowledge Organization, ASIS&T proceedings, and has presented at ISKO, DCMI, and iConference. Her work ranges from conceptual KOS analytical frameworks to empirical studies of LLMs for science research ideation.

 

She currently is an active member of the Metadata Lab and Women in STEM (WiSE) Future Professoriate Program. ​