Siun KimCurrent Position: Post-doctoral researcher in Seoul National University Hospital
Room #324, Convergence research, 103, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea Email: [email protected] Phone: +82-10-6657-0806 |
Research Interests
- Biomedical Natural Language Processing
- ML-based Drug Development
- Clinical Informatics
- Clinical Pharmacology & Regulatory Science
Experience
- Post-doctoral researcher in Seoul National University Hospital, 2022.3 ~ Present (Supervisor: Prof. Hyung-Jin Yoon)
Education
- Ph.D. in Applied Bio-Engineering, Seoul National University, 2018.3 ~ 2023.2 (Advisor: Prof. Howard Lee)
- B.S. in Biology and Anthropology, Seoul National University, 2013.3 ~ 2018.2 (Summa Cum Laude)
- Gyeonggi Science High School, 2011. 3 ~ 2013. 2
Publications [Google Scholar]
- Junmo Kim, Hyun-Lim Yang, Su Hwan Kim. Siun Kim, Jisoo Lee, Jiwon Ryu, Kwangsoo Kim, Zio Kim, Gun Ahn, Doyun Kwon, Hyung-Jin Yoon. "Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study", eClinicalMedicine, (2024)
- Siun Kim, Jung-Hyun Won, David Seung U Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee. "CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information", Findings of the Association for Computational Linguistics: EACL 2024 (Findings of EACL), (2024)
- Siun Kim, Taegwan Kang, Tae Kyu Chung , Yoona Choi, YeSol Hong, Kyomin Jung, Howard Lee. "Automatic Extraction of Comprehensive Drug Safety Information From Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques", DRUG SAFETY, (2023)
- Siun Kim, Jung-Hyun Won, David Seung U Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee. "Revisiting MachineLearning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target", In Conference on Health, Inference, and Learning 2023: CHIL 2023. PMLR, (2023)
- Siun Kim, Yoona Choi, Jung-Hyun Won, Jung Mi Oh, Howard Lee, "An annotated corpus from biomedical articles to construct a drug-food interaction database", JOURNAL OF BIOMEDICAL INFORMATICS, (2022)
- Siun Kim, Hyun A Lee, Seong Bok Jang, Howard Lee, "A population pharmacokinetic-pharmacodynamic model of YH12852, a highly selective 5-hydroxytryptamine 4 receptor agonist, in healthy subjects and patients with functional constipation", CPT: PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, (2021)
- Soohyun Kim, Siun Kim, Howard Lee, "A critical review of the United States regulatory pathways for determining the equivalence of efficacy between CT-P13 and original infliximab (Remicade®)", DRUG DESIGN DEVELOPMENT AND THERAPY, (2020) [co-first]
- Siun Kim, Howard Lee . The Era of Biologics is Coming. Young Doc Press, (2019) [Book, selected as 2022 Sejong Book, excellent liberal arts book]
Conferences
- Siun Kim, Jung-Hyun Won, David Seung U Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee. "CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information", EACL 2024, Malta (Mar. 2024) - Poster
- Siun Kim, "How to address data scarcity and bias for AI-powered drug discovery", 2023 Fall Korean Society of Medical Informatics Conference, Seoul, Korea (Nov. 2023) - Oral
- Siun Kim, Taegwan Kang, TaeKyu Jung, Yoona Choi, Yesol Hong, Kyomin Jung, Howard Lee, "An Annotated Corpus and Natural Language Processing Model for Drug Safety Information Extraction from Free-texts Reporting Adverse Events", 2021 Fall Korean Society of Medical Informatics Conference, Seoul, Korea (Nov. 2021) - Oral
- Siun Kim, Hyun A Lee, Seong Bok Jang, Howard Lee, "A Population PK-PD Model of YH12852, a Highly Selective 5-HT4 Receptor Agonist, in Healthy Subjects and Patients with Functional Constipation", Population Approach Group in Korea, Iksan, Korea (Nov. 2020) - Oral
- Siun Kim, Tae Kyu Jung, BongKi Moon, Jung Mi Oh, Howard Lee, "Development of an Annotation Guideline to Extract Drug-Food Interaction Information for Machine Learning", Korean Society for Clinical Pharmacology and Therapeutics, Yeosu, Korea (Nov. 2019) - Poster
- Siun Kim, Hyun A Lee, Seol Ju Moon, Hyounggyoon Yoo, Seong Bok Jang, Howard Lee, "A Population Pharmacokinetic-Pharmacodynamic Model to Characterize the Increase in Gastrointestinal Motility by YH12852, a Highly Selective 5-HT4 Receptor Agonist, in Healthy Subjects and Patients with Functional Constipation", 2019 AAPS PharmSci 360, San Antonio, United States (Nov. 2019) - Poster
Projects
- Development of an intra-dialysis hypotension (IDH) prediction model using time-series vital sign and dialyszer data from therapy data management system (TDMS), Seoul National University Hospital (March. 2023 ~ Present): working as a leading researcher
- Collaboration research with Microsoft Research Asia: Revisiting and reformulating machine learning-based drug repositioning using clinical trials database and eligibility criteria information, Microsoft Research Asia, China (May. 2022 ~ April. 2023): working as a leading researcher, reformulating ML-based DR models, developing models recommending eligibility criteria from the titles of clinical trials using contrastive learning
- Development of a prospective real-world registry for pediatric acute lymphoblastic leukemia (ALL) using multi-institutional electronic medical records (EHRs), Korea Health Industry Development Institute, Korea (Mar. 2022 ~ Dec. 2022): designing an ALL registry report form and developing extraction algorithms that capture key clinical
- Development of natural language processing algorithms for extracting key clinical information from text data of drug adverse events reporting, Ministry of Food and Drug Safety., Korea (Feb. 2021 ~ Feb. 2022): leading the project, formulating the extraction of comprehensive drug safety information as NLP tasks, developing NLP models extracting drug safety information from adverse event narratives
- Developing TPP (Target Product Profile) of REX101, bacterial exosome-based Anticancer Therapy, Rosetta Exosome, Korea (Mar. 2021 ~ Dec. 2021): working as a leading researcher
- IDX-1197 development strategy consultation, Idience Co., Ltd, Korea (Oct. 2020 ~ Feb. 2021): working as a leading researcher, constructing pre-clinical and clinical databases for approved PARP inhibitors
- Research on drug interaction evaluation using big data and machine learning, Ministry of Food and Drug Safety, Korea (Feb. 2018 ~ Feb. 2022): leading subpart project, developing NLP models extracting drug-food interaction from biomedical texts, validating drug-drug interaction prediction models
Awards and Honors
- The Best Article Presentation, 1st, Korean Society for Clinical Pharmacology and Therapeutics, Korea (Nov. 2021)
- The Best Original Research Article, 1st, The Korean Society of Medical Informatics, Korea (Oct. 2021)
- Presidential Science Scholarship, Korea Student Aid Foundation, Korea (Mar. 2013 ~ Feb. 2017)
Review Experience
- Conference: ML4H
Last modified: May 2023.