Mina Lee is an Assistant Professor in the Computer Science and Data Science Institute at the University of Chicago.
Her research examines the evolving relationship between people and AI, with a particular focus on writing,
reading, and thinking with AI. She designs and evaluates AI systems, identifies opportunities and risks
of AI-assisted writing, reading, and thinking, and measures AI's impact through user studies,
controlled experiments, and surveys.
Her work appears in both generalist journals (e.g.,
Nature Human Behavior) and top-tier conferences
in HCI (e.g., CHI), NLP (e.g., ACL and NAACL), and ML (e.g., NeurIPS).
She was named one of MIT Technology Review's Korean Innovators under 35 in 2022 and received the Young Faculty Award
from the Korean Computer Scientists and Engineers Association in America (KOCSEA) in 2025.
Her work on human-AI collaborative writing received an Honorable Mention Award at CHI 2022 and a Best Paper Award at CHI 2026
and was featured in various media outlets, including
The Economist.
She has co-founded and organized multiple workshops, including Intelligent and Interactive Writing Assistants
(In2Writing), Human-centered Evaluation and Auditing of Language Models (HEAL),
Tools for Thought (TfT), and Broader Impacts of GenAI in Communication at ACL, CHI, and CSCW.
She also writes for general audiences on topics of AI and academic life.
She authored How to Apply to Graduate Schools in the US (2017) and contributed chapters to
The AI Asks, the Future Answers (2025) and AI Insiders — Future Reports from Global Top-Tier Experts (2025).
She also writes two blogs:
Academic Life
(in Korean, on academic life for prospective students and researchers) and
AI & Writing
(in English, on AI's influence on writing).
