Yueran (Hannah) Sun

Hi! I'm Hannah Sun, a Master's student in Data Science at the University of Washington. I am involved in two research labs at the UW iSchool: the Lab for Computing Cultural Heritage (L4CCH) and the Language Accessibility Research (LARCH) Lab. My research is motivated by a central question: How can AI help people interact more effectively with complex bodies of knowledge? In computational humanities, I investigate how modern machine learning methods enable scholars to explore large-scale cultural heritage collections in ways that were previously impractical, revealing patterns, relationships, and perspectives that complement traditional close reading. In parallel, my work in human-computer interaction examines how AI can support comprehension of scientific information through interfaces that help users discover, interpret, and learn without replacing their own reasoning. Together, these experiences have shaped my interest in designing human-centered AI systems that augment human inquiry. If our research interests align, I'd love to connect!

I am currently preparing Ph.D. applications for Fall 2027 and look forward to continuing this line of research in graduate study.

Summer 2026: I served as a Graduate Research Assistant and project mentor to four undergraduate researchers in the University of Washington's Humanities Data Science Summer Institute (HDSSI), under the supervision of Prof. Benjamin Charles Germain Lee. We worked across two collections curated by the American Institute of Physics, the Emilio Segrè Visual Archives and the Niels Bohr Library Oral History Transcripts. One of our final products was an interactive knowledge graph visualizing the relationships between entities (physicists, laboratories, institutions, etc.) found using GLINER-based named entity recogition and relation extraction. Moving forward, we hope to continue developing the project by more closely connecting the two collections—for example, by linking figures in historical photographs to both named indiviudals and previously unnamed contributors referenced in the oral history transcripts.

Summer 2025: After graduating from the University of Michigan with a B.S. in Data Science, I joined Ternary as a Software Engineer Intern, where I integrated time-series forecasting into the cloud cost prediction API. In September 2025, I started my Master's program in Data Science at the University of Washington.

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