About me

I am an Assistant Professor in the Department of Bio and Brain Engineering at KAIST. My research projects draws upon ideas in data science, applied statistics, and machine learning to interpret large collections of biomedical data. In collaboration with experimentalists, I also enjoy solving computational problems and designing algorithms to tackle fundamental questions in modern biology.

Previously, I had the opportunity to work very closely with molecular biologists in V. Narry Kim’s lab at Seoul National University. In 2016, I received my Ph.D. in Computer Science at Princeton University working with Olga G. Troyanskaya. As an undergraduate, I majored in both Computer Science and Mathematics at the University of Texas at Austin where I was first introduced to computational biology by Tandy Warnow.

If you are interested in working with me, please feel free to contact me with a brief overview of your background and research interests.

Interests

  • Bioinformatics
  • Functional genomics
  • Molecular biology
  • Probabilistic modeling
  • Single-nucleotide analysis

Education

  • PhD in Computer Science, 2016

    Princeton University

  • BSc in Computer Science, 2010

    The University of Texas at Austin

  • BSc in Mathematics, 2010

    The University of Texas at Austin

Working

(*equal contribution)

The SARS-CoV-2 RNA interactome.

SARS-CoV-2 is an RNA virus whose success as a pathogen relies on its ability to repurpose host RNA-binding proteins (RBPs) to form its …

N6-methyladenosine demethylase FTO orchestrates motile ciliogenesis by stabilizing FOXJ1 mRNA.

Adenosine N6-methylation (m6A) is one of the most pervasive RNA modifications, and yet the physiological and pathological roles of m6A …

Publications

(*equal contribution)

(2020). Viral hijacking of the TENT4–ZCCHC14 complex protects viral RNAs via mixed tailing. Nature Structural & Molecular Biology.

DOI pubmed

(2020). MS1-Level Proteome Quantification Platform Allowing Maximally Increased Multiplexity for SILAC and In Vitro Chemical Labeling. Analytical Chemistry.

DOI pubmed

(2019). A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Syst.

DOI pubmed software

(2019). Molecular Basis for the Single-Nucleotide Precision of Primary microRNA Processing. Mol Cell.

DOI pubmed

(2018). Interpretation of an individual functional genomics experiment guided by massive public data. Nat Methods.

DOI pubmed software

(2018). Mixed tailing by TENT4A and TENT4B shields mRNA from rapid deadenylation. Science.

DOI pubmed

(2017). IFNgamma-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment. Cell.

DOI pubmed

(2015). Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms. Bioinformatics.

DOI pubmed

(2013). Defining cell-type specificity at the transcriptional level in human disease. Genome Res.

DOI pubmed

(2013). Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies. Bioinformatics.

DOI pubmed software

Contact

  • youngl@kaist.ac.kr
  • +82-42-350-7924
  • 1113 CMS(E16), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea
  • Enter Building E16 and take the elevator to Office 1113 on Floor 11