Hi! I'm Grace, a second-year Computer Science PhD student at the University of Chicago advised by Professor Mina Lee. My research is in Human-AI interaction with a focus on understanding how technology can be used to deepen student learning by fostering intrinsic motivation and sustained resilience.
I am currently exploring the following areas:Before joining UChicago, I did my undergrad at Barnard College, double majoring in Computer Science and English with a concentration in Creative Writing. I earned English Departmental Honors and the Theodore R. Bashkow Undergraduate Research Award in Computer Science. I was fortunate to be advised by Jhumpa Lahiri, for my Creative Writing Thesis. Throughout my undergraduate career, I did research with Professor Lydia Chilton on Human-AI co-writing tools to support science communication and with Professor Smaranda Muresan on using explanation dialogues to improve science explanations.
If you are a current undergraduate or masters student at UChicago, interested in working with me, please email me with your a resume and cover letter.
Most recent publications on Google Scholar.
‡ indicates equal contribution.
"I would have completely trusted the LLM's response": Changes in Students' Understanding and Behaviors After an AI Literacy Hallucination Lesson
Grace Li, Jonathan Liu, Jaemarie Solyst, Diana Franklin, and Mina Lee
under submission. 2025.
A Constructivist Approach to Structuring Technical and Socio-Ethical AI Literacy Lessons
Grace Li, Jaemarie Solyst, and Mina Lee
under submission. 2025.
"I never would have thought to say this": Example-Based Exploration to Balance Scientists' Writing Preferences with Public Science Communication Strategies
Grace Li, YY Teng, Juna Kawai-Yue, Unaisah Ahmed, Anatta Tantiwongse, Jessica Liang, Dorothy Zhang, Kynnedy Simone Smith, Tao Long, Lydia B. Chilton
under submission. 2025.
"I would have completely trusted the LLM's response": Changes in Students' Understanding and Behaviors After an AI Literacy Hallucination Lesson
Grace Li, Jonathan Liu, Jaemarie Solyst, Diana Franklin, and Mina Lee
under submission. 2025.
A Constructivist Approach to Structuring Technical and Socio-Ethical AI Literacy Lessons
Grace Li, Jaemarie Solyst, and Mina Lee
under submission. 2025.
"I never would have thought to say this": Example-Based Exploration to Balance Scientists' Writing Preferences with Public Science Communication Strategies
Grace Li, YY Teng, Juna Kawai-Yue, Unaisah Ahmed, Anatta Tantiwongse, Jessica Liang, Dorothy Zhang, Kynnedy Simone Smith, Tao Long, Lydia B. Chilton
under submission. 2025.
Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media
Tao Long, Dorothy Zhang, Grace Li, Batool Taraif, Samia Menon, Kynnedy Smith, Sitong Wang, Katy Gero, Lydia B. Chilton
ICCC'24: International Conference on Computational Creativity. 2023.
Eliciting Topic Hierarchies from Large Language Models
Grace Li, Tao Long, Lydia B. Chilton
arXiv: arxiv preprint. 2023.
"Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline
Grace Li, Milad Alshomary, Smaranda Muresan
arXiv: arxiv preprint. 2024.
University of Chicago - Pre-College Program, Summer 2025
Course Title: Understanding AI: Challenges, Changes, and How We Communicate
Position: Instructor of Record
Columbia University, Spring 2024
Course Title: User Interface Design
Position: Teaching Assistant
New York City PS 153 - 1st and 2nd Grade, Spring 2024
Course Title: Afterschool Computing Program
Position: Co-Instructor
Columbia University, Fall 2023
Course Title: Natural Language Processing
Position: Teaching Assistant
Barnard College, Spring 2023 - Spring 2024
Course Title: Speaking Center
Position: Head Speaking Fellow
Barnard College, Spring 2022 - Fall 2023
Course Title: Introduction to Data Structures and Algorithms
Position: Peer Tutor