CV

• 2019.03 ~ present
  Ph.D. Candidate, Seoul National University 

  • Major 1: Interdisciplinary Program for Bioengineering, College of Engineering

  • Major 2: Integrated Major in Innovative Medical Science, College of Medicine

  • Advisor: Prof. Jinwook Choi

  • GPA: 4.2 / 4.3

• 2014.03 ~ 2019.02
  B.S., Ajou University 

  • Major: Software and Computer Engineering

  • Minor: Applied Chemical and Biological Engineering

  • GPA: 4.1 / 4.5

• • 2022.06 ~ 2022.08
    NAVER, Summer Internship
    I worked on classifying product categories and colors in images
    
    

  • 2018.07 ~ 2019.02
    Seoul National University, Internship
    I worked on generating synthetic clinical notes

• • Natural language search system on clinical data warehouse (2024.02 - present)
    Development of a search system that answers doctor's natural language questions about patient info

  • Generating drafts of outpatient progress notes (2024.02 - present)
    Development of a model for generating a progress note at the next visit based on previous records

  • Integrating reasoning LoRAs for biomedical fact-checking (2023.09 - present)
    Design 3 reasoning LoRAs for fact-checking & Propose LoraMap for integrating multiple LoRAs

  • Automatic generation of thyroid operation records on web (2021.03 - 2024.02)
    Development of a web-based system (voice recognition using CLOVA Note, extraction of 18 clinical info with KoELECTRA, normalization of extracted results, image generation) & comparison with GPT-4 few-shot setting

  • Biomedical question-answering with UMLS knowledge infused adapters (2021.01 - 2023.08)
    Explore methods for partitioning UMLS knowledge graph & selecting sub-groups to train adapter

• Object detection of three types of hemorrhage in brain CT (2021.01 - 2023.06)
  Object detection for three hemorrhage types (subarachnoid, petechial, parenchymal) using Faster R-CNN & addition of normal structure classes due to HU similarity of subarachnoid and normal structure

• Chest X-ray image captioning (2019.03 - 2021.12)
  Incorporate the feature differences between patient and normal images into image captioning model

[2024]

Machine learning models for predicting early hemorrhage progression in traumatic brain injury
Heui Seung Lee, Ji Hee Kim, Jiye Son, Hyeryun Park, Jinwook Choi
Scientific Reports

Automated Information Extraction from Thyroid Operation Narrative: A Comparative Study of GPT-4 and fine-tuned KoELECTRA
Dongsuk Jang†, Hyeryun Park†, Jiye Son, Hyeonuk Hwang, Su-jin Kim, Jinwook Choi
American Medical Informatics Association (AMIA), Informatics Summit

[2023]

Context and Literacy Aware Learnable Metric for Text Simplification
Jeongwon Kwak, Hyeryun Park, Kyungmo Kim, Jinwook Choi
Empirical Methods in Natural Language Processing (EMNLP), GEM Workshop

Selective UMLS knowledge infusion for biomedical question answering
Hyeryun Park, Jiye Son, Jeongwon Min, Jinwook Choi
Scientific Reports (SCI; 2022 IF 4.6)

Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital
Jinwook Choi, Hyeryun Park, Eui Kyu Chie, Sae Won Choi, Ho-Young Lee, Sooyoung Yoo, Byoung Jae Kim, Borim Ryu 
Healthcare Informatics Research (HIR), Review Articles (ESCI; 2022 IF 2.9)

[2021]

Medical image captioning model to convey more details: Methodological comparison of feature difference generation
Hyeryun Park, Kyungmo Kim, Seongkeun Park, Jinwook Choi 
IEEE Access (SCI; 2021 IF 3.476)

[2020]

Feature difference makes sense: a medical image captioning model exploiting feature difference and tag information
Hyeryun Park, Kyungmo Kim, Jooyoung Yoon, Seongkeun Park, Jinwook Choi
Association for Computational Linguistics (ACL), Student Research Workshop 

[2023]
Detection and Correction of Hallucinations in Formalized Thyroid Operation Records using Generative AI  (Best Poster Award)
Ha Eun Shim, Hyeryun Park, Jeongwon Kwak, Jinwook Choi  
The Autumn Symposium of the Korean Society of Artificial Intelligence in Medicine (KOSAIM)

[2022]

A Deep Learning Framework for Extracting Clinical Core Elements from Thyroid Operation Record (Presentation)
Jiye Son†, Hyeryun Park†, Jeongwon Kwak, Sujin Kim, Kyueun Kim, Jonghyuk Ahn, Sunghun Kim, Ahjung Seo, Jinwook Choi
The Spring Symposium of the Korean Society of Medical Informatics (KOSMI)

[2019]

Clinical Text Generation using Sequence-to-Sequence and UMLS (Presentation)
Wangjin Lee†, Hyeryun Park†, Jooyoung Yoon, Kyeongmo Kim, Jinwook Choi
The Spring Symposium of the Korean Society of Medical Informatics (KOSMI)
preprint paper: https://arxiv.org/abs/1910.00861

• 2019 ~ 2023
  Selective Course for undergraduate students in the Department of Medicine

  • Schedule: Annual, 4-week course

  • Content: Python Basics, Data Analysis using pandas (iris & breast cancer dataset), ANN classification (breast cancer dataset)
    
    

• 2019 ~ 2023
  Computer Assisted Medical Data Processing for graduate students in the Department of Medicine

  • Schedule: Annual, 15-week course (5-week for deep learning)

  • Content: Python Basics, Data Analysis and Machine Learning (iris & breast cancer dataset)

• Online

  • 2020.05.11: AI for Medical Diagnosis, DeepLearning.AI, Coursera

  • 2019.09.09: Inferential Statistics, Duke University, Coursera

  • 2019.08.14: Introduction to Probability and Data with R, Duke University, Coursera

• 2024.02 ~ present
  Lecture and research support scholarship
  
  

• 2022.03
  BK (Brain Korea) outstanding research fellowship
  
  

• 2020.12 ~ 2023.12
  BK (Brain Korea) 21 scholarship

Update: 2024-05