Assistant Professor

Kun LiangContact Information:
Kun Liang

Research interests

  • Large-scale inference
  • Statistical design and analysis of high-throughput genomic data
  • Bayesian statistics
  • Markov chain Monte Carlo


  • PhD, Iowa State University, U.S.A.
  • BE, TsingHua University, China

Selected publications

  • Liang, K. (2015), False Discovery Rate Estimation for Large-scale Homogeneous Discrete P-values, Biometrics, in press.
  • Liang, K. and Nettleton, D. (2012). Adaptive and dynamic adaptive procedures for false discovery rate control and estimation. Journal of the Royal Statistical Society, Series B, 74(1):163-182.
  • Liang, K. and Keles, S. (2012). Normalization of ChIP-seq data with control. BMC Bioinformatics, 13:199.
  • Liang, K. and Keles, S. (2012). Detecting differential binding of transcription factors with ChIP-seq. Bioinformatics, 28(1):121-122.
  • Liang, K. and Nettleton, D. (2010). A hidden Markov model approach to testing multiple hypotheses on a tree-transformed gene ontology graph. Journal of the American Statistical Association, 105(492):1444-1454.
University of Waterloo
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