About me

Hello! I am a Master's student in the Computer Science & Engineering Department at Korea University and a member of Data Mining and Information Systems (DMIS) Lab, under the guidance of Dr. Jaewoo Kang. I am currently working as a visiting scholar at Boston Children's Hospital in the Machine Learning for Medical Language (MLML) Lab, advised by Dr. Timothy A. Miller. Prior to my Master's studies, I earned a Bachelor's degree in Biotechnology at Korea University. My research focuses on the broad field of NLP, particularly within the biomedical and clinical domains. I am also interested in multi-modal LLMs and the explainability of AI.

Research Interests

  • BioNLP Biomedical NLP
  • ClinicalNLP Clinical NLP
  • MLLMs Multi-modal LLMs
  • XAI Explainable Artificial Intelligence

Experience

Boston Children's Hospital
(affiliated with Harvard Medical School)

[Oct 2024 - Apr 2025]

Visiting Student

Machine Learning for Medical Language (MLML) Lab (Advisor: Dr. Timothy A. Miller)
@ Boston, Massachusetts, USA

Korea University

[Dec 2022 - Feb 2023]

Research Intern

Data Mining and Information Systems (DMIS) Lab (Advisor: Dr. Jaewoo Kang)
@ Seoul, South Korea

Kolon Lifescience

[Jan 2022 - Oct 2022]

Clinical Research Project Manager

Long term follow-up team
@ Seoul, South Korea

BIO division at CJ CheilJedang

[Nov 2021 - Dec 2021]

Research Intern

Purification group
@ Seoul, South Korea

Samsung Bioepis

[Jul 2021 - Aug 2021]

Research Intern

Purification group
@ Incheon, South Korea

Korea University

[Feb 2021 - Feb 2021]

Research Intern

Lab of Matrix Biology (Advisor: Dr. Chungho Kim)
@ Seoul, South Korea

KIST (Korea Institute of Science and Technology)

[Jan 2019 - Feb 2019]

Research Intern

Theragnosis Lab (Advisor: Dr.Hyunkyung Kim)
@ Seoul, South Korea

Education

M.S. in Computer Science

[Mar 2023 - Feb 2025]

Korea University

Data Mining and Information Systems (DMIS) Lab (Advisor: Dr. Jaewoo Kang)
@ Seoul, South Korea

Exchange Student in School of Biology

[Jan 2018 - Jul 2018]

University of Lausanne

@ Lausanne, Switzerland

B.S. in Biotechnology

[Mar 2016 - Feb 2022]

Korea University

Controlled Environment for Plant Production Lab (Advisor: Dr. Jongyun Kim)
@ Seoul, South Korea

Publications

[Under Review] [2025]

Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction

WonJin Yoon, Boyu Ren, Spencer Thomas, Chanhwi Kim, Guergana K. Savova, Mei-Hua Hall, Timothy A. Miller

[Under Review] [2025]

Learning from Negative Samples in Generative Biomedical Entity Linking

Chanhwi Kim*, Hyunjae Kim*, Sihyeon Park, Jiwoo Lee, Mujeen Sung, Jaewoo Kang (*Equal contribution)

[NACCL 2024 ClinicalNLP Workshop] [2024]

KU-DMIS at EHRSQL 2024: Generating SQL query via question templatization in EHR

Hajung Kim*, Chanhwi Kim*, Hoonick Lee, Kyochul Jang, Jiwoo Lee, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang (*Equal contribution)

[Biocreative VIII Track 3] [2023]

KU AIGEN ICL EDI@BC8 Track 3: Advancing Phenotype Named Entity Recognition and Normalization for Dysmorphology Physical Examination Reports

Hajung Kim, Chanhwi Kim, Jiwoong Sohn, Tim Beck, Marek Rei, Sunkyu Kim, T. Ian Simpson, Joram M. Posma, Antoine Lain, Mujeen Sung, Jaewoo Kang

[IEEE BIBM 2023] [2023]

Enhancing Clinical Outcome Predictions through Auxiliary Loss and Sentence-Level Self-Attention

Sanghoon Lee, Gwanghoon Jang, Chanhwi Kim, Sejeong Park, Kiwoong Yoo, Jihye Kim, Sunkyu Kim, Jaewoo Kang

[ACL 2023 BioNLP workshop] [2023]

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization

Gangwoo Kim, Hajung Kim, Lei Ji, Seongsu Bae, Chanhwi Kim, Mujeen Sung, Hyunjae Kim, Kun Yan, Eric Chang, Jaewoo Kang

Honors

Korea University - KIAT Scholarship Program

[2024]

Awarded to support a research secondment at Harvard Medical School, funded by the Ministry of Trade, Industry and Energy (MOTIE), Korea

Top 9 at [HackGlobal Grand Finals]

[2024]

AI-powered Social Gathering Platform Based on Hotel Guests' Individual Preferences
[Certificate] [News Article (English)]

1st prize at [HackSeoul 2024 Social Responsibility Track]

[2024]

AI-Powered Express Bus Reservation Service Designed for Digitally Excluded Elderly
[News Article (Korean)] [News Article (English)]

4th prize at [NACCL 2024 ClinicalNLP Workshop]

[2024]

Reliable Text-to-SQL Modeling on Electronic Health Records
[Challenge paper]

3rd prize at [BioCreative VIII Track 3]

[2023]

Genetic Phenotype Extraction and Normalization from Dysmorphology Physical Examination Entries
[Challenge paper]

1st prize at [ACL 2023 BioNLP Workshop]

[2023]

RadSum23: Multi-modal and Multi-anatomical Radiology Report Summarization
[Challenge paper] [News Article (Korean)]

Projects

ANGEL Framework

[2024]

- Codebase for the paper ”Learning from Negative Samples in Generative Biomedical Entity Linking.”
- Published source code on GitHub and model checkpoints on Huggingface

Open-source LLM for Explaining Korean Cultural Heritage

[2023 - 2024]

- Led a laboratory project focused on creating a personalized storytelling Korean LLMs
- Pretrained multilingual LLMs and integrated RAG to enhance contextual understanding
- Fine-tuned the model with audience preference graphs transformed to natural language queries to generate personalized storytelling tailored to individual interests

Human-in-the-loop Large Language Model for Biomedical Hypothesis Generation

[2023 - 2024]

- Led a laboratory project exploring advanced methods for biomedical hypothesis generation
- Explored agent-based systems and RAG approaches for human-in-the-loop LLMs

AI Platform for Precision Medicine in Diabetes and Its Complications Using Big Data

[2023 - 2024]

- Served as Sub-Leader in a laboratory project focused on precision medicine for diabetes
- Fine-tuned LLMs to deliver domain-specific, expert-level explanations by incorporating advanced medical knowledge, clinical guidelines, and patient-specific information for diabetes care