Hui Jiang

Associate Professor
Department of Biostatistics
School of Public Health
University of Michigan

Contact Information

M4523 SPH II
1415 Washington Heights
Ann Arbor, Michigan 48109-2029

Office: (734) 764-6742

E-mail: jianghui AT

Professional Summary

Hui Jiang is an Associate Professor in the Department of Biostatistics at University of Michigan. He received his Ph.D. in Computational and Mathematical Engineering from Stanford University in 2009. He received his B.S. and M.S. in Computer Science from Peking University. Before joining the University of Michigan in 2011, he was a postdoctoral scholar in the Department of Statistics and Genome Technology Center at Stanford University. He is interested in developing statistical and computational methods for the analysis of large-scale biological data generated using modern high-throughput technologies.

Research Interests

  • Statistical Genomics and Bioinformatics
    • High-throughput sequencing data analysis, RNA-Seq, gene expression, alternative splicing, gene regulation, sequence alignment
  • Statistical Computing
    • Resampling, Bayesian inference, machine learning, numerical methods


NEW: genes Special Issue "Statistical Methods for the Analysis of Genomic Data"

Selected Publications (Google Scholar)

  • Shi Y, Kang H, Lee J, Jiang H (2016) Efficiently estimating small p-values in permutation tests using importance sampling and cross-entropy method
    arXiv preprint. arXiv:1608.00053 [arXiv]

  • Shi Y, Wang M, Shi W, Lee J, Kang H, Jiang H (2018) Accurate and Efficient Estimation of Small P-values with the Cross-Entropy Method: Applications in Genomic Data Analysis
    Bioinformatics, DOI: 10.1093/bioinformatics/bty1005 [online][arXiv][code]

  • Segal B, Elliott M, Braun T, Jiang H (2018) P-splines with an l1 penalty for repeated measures
    Electronic Journal of Statistics, 12 (2): 3554-3600. [online][arXiv][code]

  • Liu K, Ye J, Yang Y, Shen L, Jiang H (2018) A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq data
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2018.2790918. [online][arXiv][code]

  • Liu T, Jiang H (2018) Minimizing Sum of Truncated Convex Functions and its Applications
    Journal of Computational and Graphical Statistics, DOI: 10.1080/10618600.2017.1390471. [online][arXiv][code]

  • Segal B, Braun T, Elliott M, Jiang H (2018) Fast Approximation of Small p-values in Permutation Tests by Partitioning the Permutations
    Biometrics, 74 (1): 196-206. [online][arXiv][software][code]

  • Jiang H, Zhan T (2017) Unit-Free and Robust Detection of Differential Expression from RNA-Seq Data
    Statistics in Biosciences, 9: 178-199. [online][arXiv][code]

  • Jiang H, Mu JC, Yang K, Du C, Lu L, Wong WH (2016) Computational Aspects of Optional Polya Tree
    Journal of Computational and Graphical Statistics, 25 (1): 301-320. [online][arXiv][software]

  • Shi Y, Chinnaiyan AM, Jiang H (2015) rSeqNP: A non-parametric approach for detecting differential expression and splicing from RNA-Seq data
    Bioinformatics, 31 (13): 2222-2224. [online][software]

  • Jiang H, Salzman J (2015) A penalized likelihood approach for robust estimation of isoform expression
    Statistics and Its Interface, 8 (4): 437-445. [online][arXiv]

  • Lu L, Jiang H, Wong WH (2013) Multivariate density estimation by Bayesian Sequential Partitioning
    Journal of the American Statistical Association, 108 (504): 1402-1410.

  • Shi Y, Jiang H (2013) rSeqDiff: Detecting differential isoform expression from RNA-Seq data using hierarchical likelihood ratio test
    PLoS One, 8 (11): e79448.

  • Jiang H, Salzman J (2012) Statistical properties of an early stopping rule for resampling-based multiple testing
    Biometrika, 99 (4): 973-980.

  • Salzman J, Jiang H, Wong WH (2011) Statistical Modeling of RNA-Seq Data
    Statistical Science, 26 (1): 62-83.
    [online][arXiv][technical report][software]

  • Li J, Jiang H, Wong WH (2010) Modeling Non-Uniformity in Short-Read Rates in RNA-Seq Data
    Genome Biology, 11: R50.

  • Au KF, Jiang H, Lin L, Xing Y, Wong WH (2010) Detection of Splice Junctions from Paired-End RNA-Seq Data by SpliceMap
    Nucleic Acids Research, 38 (14): 4570-4578.

  • Jiang H, Wong WH (2009) Statistical Inferences for Isoform Expression in RNA-Seq
    Bioinformatics, 25 (8): 1026–1032.

  • Jiang H, Wong WH (2008) SeqMap: Mapping Massive Amount of Oligonucleotides to the Genome
    Bioinformatics, 24 (20).

  • Ji H, Jiang H, Ma W, Johnson D, Myers R, Wong WH (2008) An Integrated Software System for Analyzing ChIP-chip and ChIP-seq Data
    Nature Biotechnology, 26: 1293-1300.