Qiaoyi (Joy) Liu she/her/hers
Joy is a second-year PhD student in Information Science and Technology at Syracuse University. With a background in biology and expertise in library and information science, she adopts an interdisciplinary approach to research. She is a member of the Metadata Lab (click here).
Her research focuses on knowledge organization (KO) and the science of science (SoS), particularly in biological knowledge representation and ontology construction. She applies classification theories and semantic measures, influenced by Kuhn's paradigm shifts, to analyze how knowledge structures evolve and influence computational models. Joy is also interested in how machine learning models and trustworthy large language models (LLMs) leverage knowledge bases to advance bioinformatical research. Additionally, she uses social network analysis to examine collaboration patterns among biomedical researchers in publication networks.​​
Current Projects
I use social network analysis (SNA) and NLP sentiment analysis to study the polarization of social media users on climate change. I focus on the networks of believers and skeptics in anthropogenic climate change and science denialism movements.
I use Gene Ontology (GO) annotation data to study the usage of knowledge organization systems (KOS) as training data for machine learning (ML) models in identifying disease-gene associations in bioformatics research. I focus on the data quality, scheme design, cross-link with external resources of biological ontologies to discuss their applicability in large language models (LLM) and trustworthy AI.