Jinsook (Jennie) Lee
Ph.D. Candidate in Information Science, Cornell University
Email: jl3369@cornell.edu | Website: https://Jinsook-Jennie-Lee.github.io | GitHub: Jinsook-Jennie-Lee
Education
Ph.D. Candidate in Information Science
- Advisors: René F. Kizilcec, Thorsten Joachims
- Member of Future of Learning Lab
- Research: AI systems in education, equity, evaluation, and decision-making in high-stakes contexts (e.g., college admissions).
Experience
Data Scientist
- Developed course and major recommender systems to support college students' decision-making processes.
Selected Publications
AI Annotation Orchestration: Evaluating LLM Verifiers to Improve the Quality of LLM Annotations in Learning Analytics
Ahtisham, B., Vanacore, K., Lee, J., Zhou, Z., Pietrzak, D., & Kizilcec, R. F.
Proceedings of the Learning Analytics and Knowledge Conference (LAK26), 2026.
Poor Alignment and Steerability of Large Language Models: Evidence from College Admission Essays
Lee, J., Alvero, A., Joachims, T., & Kizilcec, R. F.
Conference on Language Modeling (COLM25) SoLAR Workshop / Social Sim Workshop, 2025.
Ending Affirmative Action Harms Diversity Without Improving Academic Merit
Lee, J., Harvey, E., Zhou, J., Garg, N., Joachims, T., & Kizilcec, R. F.
AAAI/ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'24), 2024.
The Life Cycle of Large Language Models in Education: A Framework for Understanding Sources of Bias
Lee, J., Hicke, Y., Yu, R., Brooks, C., & Kizilcec, R. F.
British Journal of Educational Technology, 55(5), 1982-2002, 2024.
Large Language Models, Social Demography, and Hegemony: Comparing Authorship in Human and Synthetic Text
Alvero, A., Lee, J., Regla-Vargas, A., Kizilcec, R. F., Joachims, T., & lising antonio, A.
Journal of Big Data, 11(1), 138, 2024.
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters
Lee, J., Thymes, B., Zhou, J., Joachims, T., & Kizilcec, R. F.
Artificial Intelligence in Education (AIED23) EDI in EdTech R&D Workshop, 2023.
Research Projects & Interests
- LLMs in College Admissions: Analyzing how language models influence admissions through essay writing and institutional interpretation. Investigating lexical diversity, semantic space, and stylistic homogenization.
- AI Evaluation Pipelines: Developing pipelines for tutoring data with the National Tutoring Observatory, focusing on multi-agent orchestration and dialogue segmentation.
- Algorithmic Fairness: Studying uncertainty and arbitrariness in algorithmic predictions within admissions.
Skills & Interests
- Research: Learning Analytics, NLP, AI Ethics, Educational Technology.
- Hobbies: Tennis, Music curation.