Junyeong Park

Hi! :) I’m a first-year PhD student in the School of Computing at KAIST, working with my amazing advisors, Alice Oh and So-Yeon Ahn. In fall 2026, I’m visiting New York University, working with Eunsol Choi.

My research is motivated by the idea of AI for Good: I want to build AI that serves people and society, supporting people with diverse backgrounds, experiences, and needs. I primarily work in natural language processing (NLP), sometimes drawing on human–computer interaction (HCI) to better understand the people who use these systems.

I’m currently focusing on multicultural AI and AI for education. Some questions that guide my work are: How well do language models understand and respond to people across cultures? How can they support students and teachers in meaningful ways? And how can we make these systems safer, more reliable, and less biased? Through building and evaluating these models, I hope to help make AI more inclusive and responsive to the people it serves.

I’d love to connect with others who share these interests, to collaborate, exchange ideas, or simply chat! Feel free to reach out at junyeong.park@kaist.ac.kr.

Publications

Culture

How AI understands different cultures and responds to people from different backgrounds.

Bias

How AI portrays different groups of people, and where stereotypes and unfairness show up in text and images.

Education

How AI can help students learn and teachers teach in safe, useful, and reliable ways.

Learner Behavior in Learning by Teaching with Imperfect LLM Peers

Jieun Han, Junyeong Park, Seohyun Park, Haneul Yoo, Hyoungwook Jin, Xing Xie, Evelyne Viegas, Sean Rintel, Miran Lee, Alice Oh, So-Yeon Ahn, Fangzhao Wu

Preprint, 2026

  • Education

Beyond Standard English: AI-Driven Language Learning for Inclusivity in South Korea

So-Yeon Ahn, Jieun Han, Junyeong Park, Suin Kim

Preprint, 2026

  • Education