/ HCI & AI RESEARCHER
I research Human-AI Interaction, designing AI agents that genuinely serve people. My work spans value alignment, fairness, societal impacts, and social simulation of AI systems.
Postdoctoral Researcher
at Seoul National University AI Institute.
/ ABOUT MY RESEARCH
My research lies at the intersection of Human-AI Interaction, Value Alignment, and Fairness. I investigate how AI systems affect human decision-making, social dynamics, and cognitive processes—and how we can design them to be more equitable and aligned with human values.
I am particularly interested in understanding biases in multimodal AI systems, designing AI agents that support meaningful human experiences, and building simulation frameworks to study AI's societal effects at scale.
AI agents, co-viewing, shopping, and collaborative experiences
Bias in AI hiring, sycophancy, cross-cultural evaluation
LLM decision-making, clinical benchmarks, social simulations
/ RESEARCH THEMES
AI agents for sports, cinema, shopping, and conversation
7 papersCross-modal bias, halo effects, cultural asymmetry
5 papersSycophancy, selective exposure, decision-making
3 papersLLM-based agent simulation, social polarization, policy testing
Current & Future/ HONORS & AWARDS
Graduate School of Convergence Science and Technology, Seoul National University
Selected as one of 10 recipients for outstanding "AI + X" interdisciplinary research
Student Travel Grants Program for research conference attendance
Selected as excellent graduate student in Brain Korea 21 program
Government scholarship based on publication potential (5 years)
/ CURRENT RESEARCH PROJECT
Contributing to a project that builds social conflict simulation and policy feedback systems using LLM-based agents. My work focuses on constructing a Korean agent library (200+ agents reflecting demographics, political orientation, and cultural context) and validating polarization representation through 1:1 and small group debate simulations with quantitative metrics and human evaluation.
