Creating innovative bio-convergent technologies for better human life

이영석
이영석
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  • 조교수
  • 연구실: 1113호, E16
  • 연구실명 : 계산분자생물학 연구실 (Young Laboratory in Quantitative and Computational Biology )
  • 82-42-350-7924
  • youngl@kaist.ac.kr
최종학위
  • 2016 Princeton University Computer Science 박사
연구분야

Bioinformatics, Functional genomics, Computational molecular biology

경력

  • 2020.12 ~ 현재

    Assistant Professor, Bio and Brain Engineering, KAIST, Republic of Korea

  • 2016.05 ~ 2020.11

    Postdoctoral Fellow, Center for RNA Research, Institute for Basic Science and Seoul National University, Republic of Korea

대표 연구실적
  • Kim D*, Lee YS*, Jung SJ*, Yeo J*, Seo JJ, Lee YY, Lim J, Chang H, Song J, Yang J, Jung G, Ahn K and Kim VN (2020) “Viral hijacking of the TENT4-ZCCHC14 complex protects viral RNAs via mixed tailing.” Nature Structural & Molecular Biology 27, 581–588, *equal contributions
  • Lee YS, Krishnan A, Oughtred R, Rust R, Chang CS, Ryu J, Kristensen VN, Dolinski K, Theesfeld CL and Troyanskaya OG (2019) "A Computational Framework for Genome-wide Characterization of the Human Disease Landscape." Cell systems 8 (2), 152-162. e6
  • Lee YS, Wong AK, Tadych A, Hartmann BM, Park CY, DeJesus VA, Ramos I, Zaslavsky E, Sealfon SC and Troyanskaya OG (2018) "Interpretation of an individual functional genomics experiment guided by massive public data." Nature methods 15 (12), 1049
  • Lim J*, Kim D*, Lee YS*, Ha M, Lee M, Yeo J, Chang H, Song J, Ahn K and Kim VN (2018) "Mixed tailing by TENT4A and TENT4B shields mRNA from rapid deadenylation." Science 361 (6403), 701-704, *equal contributions
  • Lee YS, Krishnan A, Zhu Q and Troyanskaya OG (2013) "Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies." Bioinformatics 29 (23), 3036-3044