Hi! I'm Hannah Sun, a Master's student in Data Science at the University of Washington.
I'm involved in two research labs at the UW iSchool: the
Lab for Computing Cultural Heritage (L4CCH) and the
Language Accessibility Research (LARCH) Lab. I'm
also a research fellow in the SPAR program. My research is broadly
motivated by how AI systems interact with human knowledge, reasoning, and behavior.
In computational humanities, I investigate how modern machine learning methods enable scholars to explore
large-scale cultural heritage collections, revealing patterns and relationships that complement traditional
close reading. My HCI research studies how AI-assisted interfaces can support comprehension of
scientific information without replacing users' own reasoning. More recently, my work with SPAR examines
human behavioral phenomena in language models, including how social information and interactions with
other agents can influence their judgments and behavior. 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.
Fall 2026: I'm joining SPAR as a research fellow, where I'll be studying human behavioral phenomena in language models. At UW, I'll be a grader for IMT 521: Artificial Intelligence Foundations. I'm also participating in the Impending Bloom Global Sustainability Fellowship, where I'll get to explore systems thinking and applications of AI to sustainability.
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.
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.
Publications
Beyond Readability Metrics: Plain Language Priorities in Disability Advocacy Organizations
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT '26), pp. 7864–7892.
Viral Images: Identifying Reprintings within 1.5 Million Photographs in Chronicling America
Submitted to Computational Humanities Research 2027 (CHR 2027).
Easy Reading Is Not Deep Reading: A Classroom Study of AI-Assisted Elaborative Interrogation on Reader Comprehension
Submitted to ACM CHI 2027.
*Equal contribution.
Experience
SPAR
Research Fellow • Human Behavioral Phenomena in Language Models • Mentor: Emilio Barkett
Remote
IMT 521: Artificial Intelligence Foundations
Reader/Grader
University of Washington • Seattle, WA
Impending Bloom
Global Sustainability Fellow
Remote
Language Accessibility Research (LARCH) Lab
Research Collaborator • Primary Collaborator: Anukriti Kumar • PI: Prof. Lucy Lu Wang
University of Washington • Seattle, WA
Lab for Computing Cultural Heritage (L4CCH)
Research Collaborator • PI: Prof. Benjamin Charles Germain Lee
University of Washington • Seattle, WA
Develop for Good
Program Lead
Remote
Humanities Data Science Summer Institute (AIP Project)
Graduate Research Assistant • PI: Prof. Benjamin Charles Germain Lee
University of Washington • Seattle, WA
Develop for Good (PainUSA Team)
Product Manager
Remote
Ternary
Software Engineer Intern • Supervisor: Kyle Rattet
Remote
University of Michigan Department of Mathematics
Grader, MATH 417: Matrix Algebra I • Supervisor: Prof. Ruiyuan Chen
Ann Arbor, MI
Multidisciplinary Design Program (ProQuest Team)
Student Developer • Mentor: Prof. Sindhu Kutty
University of Michigan • Ann Arbor, MI
Pachira Information Technology
NLP Algorithm Intern • Supervisor: Dr. Chenglong Ma
Zhuhai, China
MobiDrop
Undergraduate Research Assistant • Mentor: Dr. Guantao Zheng
Remote
University of Michigan Math Learning Center
Undergraduate Tutor • Supervisor: Irina Arakelian
Ann Arbor, MI