Summary
Jiseon Kim is a PhD candidate in computer science at KAIST with a decade of research experience at the intersection of NLP and computational social science, focusing on aligning large language models with human and societal values and applying AI to political and social impact problems. Advised by Alice Oh, she has driven work on moral decision-making, cultural bias, and social reasoning in LLMs and built frameworks to analyze large-scale, expertise-driven political data such as legislative processes and lobbying. Her background includes research internships at MPI‑SP and NAVER AI Lab and visiting stints at MIT Political Science, reflecting a strong cross-institutional collaboration record. Notably, she blends methodological rigor in model evaluation with domain-informed persona modeling to probe LLM behavior in realistic social contexts.
10 years of coding experience
Summer session Computer Science, Summer session Computer Science at University of California, Berkeley
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Sookmyung Women's University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Korea Advanced Institute of Science and Technology