Junu Kim

Professional Experience

Sep 2026 – present

Postdoctoral Researcher, KAISTAdvisor: Edward Choi

Apr – Aug 2026

Research Intern, Institute of Foundation ModelsPost-Training Team · Project: K2-Horizon · Manager: Haonan Li, Rupesh Srivastava

Jun – Dec 2025

Research Intern, Microsoft Research AsiaArtificial Intelligence & Reasoning Team · Project: LayerNorm Induces Recency Bias in Transformer Decoders · Mentor: Xiao Liu

Education

2022 – Aug 2026

Ph.D. in Artificial Intelligence, Kim Jaechul Graduate School of AI, KAISTAdvisor: Edward Choi

2018 – 2022

B.S. in Computer Science, School of Computing, KAIST

Publications * equal contribution or co-corresponding authorship

1. Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry

   Junu Kim, Chaeeun Shim, Sungjin Park, +12 more, Sung Yoon Lim*, Han-Gil Jeong*, Edward Choi*

   MLHC 2026 · PMLR 340 · arXiv · Code

2. LayerNorm Induces Recency Bias in Transformer Decoders

   Junu Kim, Xiao Liu, Zhenghao Lin, Lei Ji, Yeyun Gong, Edward Choi

   Findings of ACL 2026 · arXiv · Code

3. Federated Learning for Heterogeneous Electronic Health Record Systems with Cost Effective Participant Selection

   Jiyoun Kim, Junu Kim, Kyunghoon Hur, Edward Choi

   Scientific Reports · Paper

4. Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records

   Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi

   CHIL 2025 · PMLR 287 · arXiv

5. General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History

   Junu Kim, Chaeeun Shim, Bosco Seong Kyu Yang, +3 more, Edward Choi

   MLHC 2024 · PMLR 252 · Paper · Code

6. Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

   Sunjun Kweon*, Junu Kim*, Jiyoun Kim, +11 more, Edward Choi

   Findings of ACL 2024 · Paper · Code · Hugging Face

7. GenHPF: General Healthcare Predictive Framework for Multi-task Multi-source Learning

   Kyunghoon Hur, Jungwoo Oh, Junu Kim, +6 more, Edward Choi

   IEEE JBHI · Paper · arXiv

Projects & Abstracts

1. EHRFL: Federated Learning Framework for Heterogeneous EHRs and Precision-guided Selection of Participating Clients

   Jiyoun Kim, Junu Kim, Kyunghoon Hur, Edward Choi

   ML4H 2024 Findings · arXiv · Code

2. Toward General-purpose ICU Predictive Model: Without Task-specific Feature Selection and Infinite Observation Windows

   Junu Kim, Chaeeun Shim, Edward Choi, Han-Gil Jeong

   ESICM LIVES 2023 · abstract · Abstract

3. CAMEL: Clinically Adapted Model Enhanced from LLaMA

   Sunjun Kweon*, Junu Kim*, Seongsu Bae, +6 more, Edward Choi

   Project · 2023 · Blog · Code

4. Universal EHR Federated Learning Framework

   Junu Kim, Kyunghoon Hur, Seongjun Yang, Edward Choi

   ML4H 2022 · extended abstract · arXiv · Code

Talks & Tutorials

• Korean Digital Convergent Neurosurgery Research Society (KDCNRS) Symposium
• Seoul AI Hub AI+Healthcare Tutorial Session Link
• KAIA 2024 Spring Tutorial GitHub
• KOSMI 2024 Winter School - Make your own LLM GitHub
• KoSAIM 2023 Summer School Hands-on Session: Transformer GitHub
• KoSAIM RGEMM (생성모델연구회) Seminar Link

Academic Service

Conference Reviewer · ICLR, ARR, CoLM, CHIL, ML4H, MLHC

Honors

2018 – 2022

Presidential Science ScholarshipPrestigious scholarship awarded by the Korean government to students in science and engineering fields