구성원

구성원

황승용

Sungkyoung Choi 최성경 교수

Research Keywords
연구키워드
  • #Bioinformatics #Biostatistics #Genomics #Transcriptomes #Microbiomes
  • # 생물정보학 # 생물통계학 # 유전체 연구 # 전사체 연구 # 마이크로바이옴
Research Objectives
연구목표
  • Research on disease-related marker discovery and disease prediction model development using AI techniques for accurate disease prediction from microbiome data
  • Research on the discovery of candidate markers related to specific diseases and traits using genome and metabolite datasets
  • A study on the discovery of disease predictors among multi-omics data using the latest analytical model techniques in mathematics, statistics, and AI
  • Large-capacity genome data analysis pipeline development and visualization program development research
  • 마이크로바이옴 데이터로부터 정확한 질병 예측을 위해 인공지능 기법을 활용한 질병 연관 마커 발굴 및 질병 예측 모형 개발 연구
  • 유전체‧대사체 데이터 정보를 활용한 특정 질환 및 형질에 연관된 후보 마커 발굴 연구
  • 수학‧통계학‧인공지능 분야 최신 분석 모델 기법을 활용한 다중 오믹스 자료 간 질병예측인자 발굴 연구
  • 유전자×유전자, 유전자×환경 요인과의 상호작용을 고려한 질병예측인자 발굴 연구
  • 대용량 유전체 자료 분석 파이프라인 개발 및 시각화 프로그램 개발 연구
Brief Research Experience
주요경력
  • Assistant Professor, Hanyang University Campus (2019~present)
  • Research Assistant Professor in Severance Biomedical Science Institute, Yonsei University College of Medicine (2017~2018)
  • Postdoctoral Fellow in the Research Institute of Basic Sciences, Seoul National University (2016~2017)
  • Publications > 30 (SCI/SCIE > 25), Book 1
  • Board member, Korea genome organization (2022~present)
  • 조교수, 한양대학교 수리데이터사이언스학과(2019년~현재)
  • 박사후연구원, 연세대학교 의과대학 약리학교실(2018년~2019년)
  • 연구조교수, 연세대학교 의생명과학부(2017년~2018년)
  • 박사후연구원, 서울대학교 자연과학대학 기초과학연구원(2016년~2017년)
  • 논문 30편 게재(SCI/SCIE 25편), 저서 1권
  • 교육위원, 한국유전체학회(2022년~현재)
Research Areas
연구분야
  • Genome (GWAS/NGS)-based disease association analysis and prediction model development
  • Transcript (RNA-seq) analysis pipeline construction and disease association study
  • Microbiome-based disease association analysis and database construction
  • Multiple omics-based disease research
  • 유전체(GWAS/NGS) 기반 질병 연관성 분석 및 예측 모형 개발
  • 전사체(RNA-seq) 분석 파이프라인 구축 및 질병 연관성 연구
  • 마이크로바이옴 기반 질병 연관성 분석 및 데이터베이스 구축
  • 다중 오믹스 기반 질병 연구
Thesis
논문
  • Choi S, Lee S, Huh I, Hwang H, Park T, (2020) HisCoM-G×E: Hierarchical Structural Component Analysis of Gene-Based Gene–Environment Interactions, International Journal of Molecular Sciences, 21(8): 6724
  • Choi S, Lee S, Kim Y, Hwang H, Park T, (2018) HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions, Journal of Bioinformatics and Computational Biology, 16(6), 1840026-1840026
  • Yang H*, Choi S*, Park S, Jung Y, Choi K, Park T, Kim J, Park D, (2017) Derivation and validation of a risk scoring model to predict advanced colorectal neoplasm in adults of all ages, Journal of Gastroenterology and Hepatology, 32(7), 1328-1335
  • Choi S, Lee S, Qiao D, Hardin M, Cho MH, S EK, Park T, Won S, (2016) FARVATX: FAmily-based Rare Variant Association Test for X-linked genes, Genetic Epidemiology 40(6), 475-485.
  • Choi S, Lee S, Cichon S, Nöthen MM, Lange C, Park T, Won S, (2014) FARVAT: A family-based rare variant association test. Bioinformatics, 30(22), 3197-3205.
Research Topics
연구내용
  • Research on the development of microbiome-based AI disease prediction model

    Development of a disease predictor discovery model based on ML and DL models

    Public database data collection and integrated DB foundation construction

    Study on the development of XAI disease prediction models

    Development of web-based visualization software of disease index discovery and integrated model analysis results

  • Mathematical model analysis study on multi-omics data

    Research on the discovery of metabolite and genomic markers related to type 2 diabetes and development of predictive models

    Metabolite discovery and pathway analysis studies related to obesity using advanced statistical models

  • Sorafenib resistance in hcc cell study based on mRNA/lncRNA

    Data preprocessing and analysis pipeline construction study