About Me
I am an Assistant Professor in Computer Science and Data Science Institute at the University of Chicago. Previously, I was a postdoctoral researcher in the Computational Social Science group at Microsoft Research. I received my Ph.D. in Computer Science from Stanford University, where I was fortunate to be advised by Percy Liang. Before that, I was an undergraduate at Korea University.
My research group studies Human-AI Interaction, especially the evolving relationship between humans and AI. See the Research page for more details! If you are interested in joining our group, please see the Prospective Student section in the Contact page.
Research Areas
- Human-Computer Interaction
- Natural Language Processing
- Computational Social Science
Education
- Stanford Ph.D. in Computer Science
- Korea University B.S. in Computer Science
Recent News
- [Book] Two books (in Korean) on the future in the AI era are available now: I contributed Chapter 13 of THE AI Asks, the Future Answers (THE AI가 묻고 미래가 답하다) and Part 4-3 of AI Insiders - The AI Future Report by Global Leaders (AI 내부자들 - 글로벌 탑티어들의 AI 미래보고서).
- [Paper] Our paper led by Yichen Wang, Unraveling Misinformation Propagation in LLM Reasoning, is accepted at EMNLP Findings 2025.
- [Class] Grace Li taught a 3-week long class on AI literacy in Summer 2025: Understanding AI: Challenges, Changes for How We Communicate. The materials are accepted at NeurIPS Education Materials 2025.
- [Media] I was interviewed by THE AI newspaper about my research on writing with AI [article in Korean][article in English].
- [Paper] Two papers are accepted at the CHIWORK 2025 Workshop on Navigating Generative AI Disclosure, Ownership, and Accountability in Co-Creative Domains: (1) What Shapes Writers’ Decisions Around Disclosure of AI Use? and (2) Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing. Excited to think more about evolving norms around AI use in writing. ✍️
- [Paper] Two preprints on the impact of AI in reading comprehension are available now: (1) Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools and (2) Could AI Make Legalese Comprehensible to the Public?
- [Workshop] I co-founded and organized the workshop on Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI at CHI 2025. Here is the synthesis from the workshop: Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop. 🧠
- [Media] Building Machines that Learn and Think with People was featured in the UChicago CS News article: Rethinking AI as a Thought Partner: Perspectives on Writing, Programming, and More.
- [Paper] Our paper on Building Machines that Learn and Think with People is published at Nature Human Behavior.
- [Paper] Our paper A Design Space for Intelligent and Interactive Writing Assistants is published at CHI 2024.
- [Award] I am honored to be named as one of MIT Technology Review’s Korean Innovators under 35.
- [Workshop] I co-founded and organized the workshop on Intelligent and Interactive Writing Assistants at ACL 2022 and CHI 2023 and organized Human-Centered Evaluation and Auditing of Language Models Workshop (HEAL) at CHI 2024.
- [Media] CoAuthor was featured in The Economist, Stanford HAI, LADN, and PCMag articles.
- [Award] CoAuthor received an Honorable Mention Award at CHI 2022.