Jeewon Yang

Ph.D. Student @ KAIST AI

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I am a Ph.D. student in KAIST AI, advised by Prof. Edward Choi. My research interest lies at Agentic AI, Large Language Models, and AI for Healthcare. I am currently leading a project to develop a conversational agent that answers human questions accurately in real time, requiring efficient long-term memory and rapid information retrieval. I have also led a project predicting cancer patients’ survival using 3D genomic information extracted from DNA methylation data.
My ultimate goal is to develop truly human-like AI agents.

News

Aug 29, 2023 I earned my M.S. degree in AI from Seoul National University 🎓

Latest Posts

Mar 08, 2026 Pytorch Troubleshooting
Mar 08, 2026 Revealing hidden processes

Selected Publications

  1. NeurIPS
    EHRNoteQA: An llm benchmark for real-world clinical practice using discharge summaries
    Sunjun Kweon†, Jiyoun Kim†, Heeyoung Kwak, Dongchul Cha, Hangyul Yoon, Kwang Kim, Jeewon Yang, Seunghyun Won, and Edward Choi*
    Advances in Neural Information Processing Systems, 2024
  2. ACM-BCB
    Deep learning-based survival prediction using DNA methylation-derived 3D genomic information
    Jeewon Yang, Dohoon Lee, Bonil Koo, Dabin Jeong, and Sun Kim*
    In Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2023
  3. PLoS Comp Bio
    Metheor: Ultrafast DNA methylation heterogeneity calculation from bisulfite read alignments
    Dohoon Lee, Bonil Koo, Jeewon Yang, and Sun Kim*
    PLOS Computational Biology, 2023
  4. Nat. Commun.
    Learning the histone codes with large genomic windows and three-dimensional chromatin interactions using transformer
    Dohoon Lee, Jeewon Yang, and Sun Kim*
    Nature Communications, 2022