About
I am a Ph.D. student in AI at KAIST,
advised by Edward Choi.
My research focuses on applying machine learning to healthcare, with a particular interest in
clinical NLP, model evaluation & benchmarking, persona agents, and reward modeling.
I developed LabTOP, a unified model for lab test outcome prediction on electronic health records,
which received the Best Paper Award at CHIL 2025.
Medical AI
Model Evaluation & Benchmarking
Natural Language Processing
Persona Agents
Reward Modeling
Publications
* Equal contribution, † Corresponding author
PICon: A Multi-Turn Interrogation Framework for Evaluating Persona Agent Consistency
Minseo Kim*, Sujeong Im*, Junseong Choi, Junhee Lee, Chaeeun Shim, Edward Choi†
arXiv preprint arXiv:2603.25620, 2026
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
Sujeong Im*, Jungwoo Oh*, Edward Choi†
Conference on Health, Inference, and Learning (CHIL), 2025
Best Paper (Applications & Practice)
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
Sunjun Kweon*, Junu Kim*, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi†
Findings of ACL, 2024
Asclepius-R: Clinical Large Language Model Built On MIMIC-III Discharge Summaries
Sunjun Kweon*, Junu Kim*, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi†
PhysioNet, 2024
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting
Seunghyun Lee*, Da Young Lee*, Sujeong Im, Nan Hee Kim, Sung-Min Park†
arXiv preprint arXiv:2302.00612, 2023
