Jie Liu, PhD

Jie Liu
Associate Professor of Computational Medicine and Bioinformatics, Medical School
Associate Professor of Electrical Engineering and Computer Science, College of Engineering
University of Michigan Medical School
Department of Computational Medicine & Bioinformatics
100 Washtenaw Avenue, Room 2035D Palmer Commons
Ann Arbor, MI 48109
[email protected]
Available to mentor
Jie Liu, PhD
Jie Liu
Associate Professor
  • Qualifications
  • Center Memberships
  • Research Overview
  • Links
  • Recent Publications
  • Manage Your Profile

  • Qualifications

    • Senior Fellow
      University of Washington, Genome Sciences, United States
      2014 - 2018
    • PhD in Computer Science
      University of Wisconsin, Madison, United States
      2014
    • Master in Statistics
      University of Wisconsin, Madison, United States
      2011
    • Master in Computer Science
      University of Wisconsin, Madison, United States
      2009
    • Master in Signal and Information Processing
      Peking University, Peking, China
      2007
    • Bachelor in Info. Management & Info. Systems
      Beijing University of Posts and Telecom, Beijing, China
      2004

    Center Memberships

    • Center Member
      Rogel Cancer Center

    Research Overview

    Dr. Liu’s research lab develops computational methods, tools, and resources for understanding the human genome and diseases such as diabetes. Recently, the methodology focuses are knowledge graphs and foundation models. We have developed a knowledge graph GenomicKB to accumulate human-readable knowledge about the human genome. We have extracted genomic knowledge from PubMed and developed another knowledge graph GLKB. We have also developed a genomic foundation model EPCOT which comprehensively predicts multiple genomic modalities. The lab currently participates in several NIH consortia, including 4DN, IGVF, HIRN, CFDE, and the recent PanKbase program. In particular, Dr. Liu co-leads the Machine Learning Focus Group at IGVF, co-leads the Data/Metadata Working Group at PanKbase, and leads the development of PanKgraph, the knowledge graph within the PanKbase system.

    Links

    • Liu Lab

    Recent Publications

    See All Publications
    • Report
      CNTools: A computational toolbox for cellular neighborhood analysis from multiplexed images
      Tao Y, Feng F, Luo X, Reihsmann C, Hopkirk A, Saunders D, Brissova M, Parker S, Liu J. 2023 Apr 28;
    • Presentation
      A generalizable framework to comprehensively predict epigenome, chromatin organization, and transcriptome
      Liu J, Feng F. 2023 Apr 26;
    • Proceeding / Abstract / Poster
      GenomicKB: a knowledge graph for the human genome
      Feng F, Tang F, Gao Y, Yang S, Li T, Zhu D, Yao Y, Huang Y, Liu J. 2023 May 15;
    • Journal Article
      GenomicKB: a knowledge graph for the human genome
      Feng F, Tang F, Gao Y, Zhu D, Li T, Yang S, Yao Y, Huang Y, Liu J. Nucleic Acids Research, 2023 Feb 23; 51 (D1): D950 - D956. DOI:10.1093/nar/gkac957
    • Journal Article
      NucleoMap: A computational tool for identifying nucleosomes in ultra-high resolution contact maps
      Huang Y, Wang B, Liu J. PLoS Computational Biology, 2023 Feb 23; 18 (7): DOI:10.1371/journal.pcbi.1010265
    • Proceeding / Abstract / Poster
      Unsupervised embedding of single-cell Hi-C data
      Liu J, Lin D, Yardlmcl GG, Noble WS. 2018 Jul 25;
    • Journal Article
      Multiple Testing under Dependence via Graphical Models.
      Liu J, Zhang C, Page D. Annals of Applied Statistics, 2016 Aug 1; 10 (3): 1699 - 1724.
    • Proceeding / Abstract / Poster
      New genetic variants improve personalized breast cancer diagnosis.
      Liu J, Page D, Peissig P, McCarty C, Onitilo AA, Trentham-Dietz A, Burnside E. AMIA Joint Summits on Translational Science, 2014 Apr 8; 2014:

    Featured News & Stories

    Diagram depicting the system's components in a circular format, showcasing their relationships and roles within the system.
    Department News

    A New Collaborative to Better Predict, Prevent, and Treat Type 1 Diabetes

    MAI-T1D is a major NIH-funded project using AI and multi-omics to map Type 1 Diabetes progression. The goal: better predict, prevent, and treat T1D.
    Yiqun Wang at a local farm
    Points of Blue

    Yiqun Wang, PhD candidate: Giving back to the biomedical field through research

    Hy Do is a PhD Candidate in the Bioinformatics Program.
    EBS award trophees, engraved with professor Jie Liu and professor Weichen (Arthur) Zhou's names
    Department News

    Jie Liu, PhD, and Weichen (Arthur) Zhou, PhD, were recognized with a University of Michigan Endowment for Basic Sciences (EBS) award

    Jie Lui, PhD, was recognized with the EBS Research Award and Weichen (Arthur) Zhou, Ph.D., with the EBS Research Award
    Photos of DCMB promoted faculty: Yuanfang Guan, Ph.D., Jie Liu, Ph.D., Ryan Mills, Ph.D., Stephen C.J. Parker, Ph.D., and Arvind Rao, Ph.D.
    Department News

    Five DCMB faculty are promoted, congratulations!

    Five DCMB faculty were promoted. They are Yuanfang Guan, Ph.D., Jie Liu, Ph.D., Ryan Mills, Ph.D., Stephen C.J. Parker, Ph.D., and Arvind Rao, Ph.D. Congratulations!
    Department News

    Former DCMB PhD student Dr. Shuze Wang published in "Developmental Cell"

    Former DCMB PhD student Dr. Shuze Wang was published in Developmental Cell.