Jun S. Liu (Chinese: 刘军; pinyin: Liú Jūn; born 1965) is a Chinese-American statistician focusing on Bayesian statistical inference, statistical machine learning, and computational biology.
From 1994 to 2004, he was Assistant, Associate, and full Professor of Statistics (promoted while being on leave) at Stanford University.
Liu has written many research papers and a book[5] about Markov chain Monte Carlo algorithms, including their applications in biology.
He is also co-author of several early software on biological sequence motif discovery.
:[1] MACAW, Gibbs Motif Sampler, BioProspector, Motif regressor, MDScan, Tmod; on genetic data analysis: BLADE, HAPLOTYPER, PL-EM, BEAM; and more recently on, genome structure, gene expression and cell type analysis: HiCNorm, BACH, CLIME, RABIT, CLIC, TIMER, and PhyloAcc.