Jun S. Liu

Jun S. Liu (born 1965) is a Chinese-American statistician focusing on Bayesian statistical inference, statistical machine learning, and computational biology. He was assistant professor of statistics at Harvard University from 1991 to 1994. From 1994 to 2004, he was Assistant, Associate, and full Professor of Statistics (promoted while being on leave) at Stanford University. Since 2000, Liu has been Professor of Statistics in the Department of Statistics at Harvard University and held a courtesy appointment at Harvard T.H. Chan School of Public Health.

Liu has written many research papers and a book 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.: 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.

Education
Liu received his B.Sc. from Peking University in 1985. He was a PhD candidate of mathematics at Rutgers University from 1986 to 1988, and obtained his Ph.D. in statistics under the supervision of Wing Hung Wong and Augustine Kong from the University of Chicago in 1991.

Career and research
Liu was the recipient of the 2002 COPSS Presidents' Award, which is arguably the most prestigious award in the field of statistics. He also won the 2010 Morningside Gold Medal in Applied Mathematics; and awarded the 2016 Pao-Lu Hsu award by the International Chinese Statistical Association (given every three years to an individual under age 50).

Liu was an Institute of Mathematical Statistics (IMS) Medallion Lecturer in 2002 and a Bernoulli Lecturer in 2004. He was elected a fellow of the Institute of Mathematical Statistics in 2004, fellow of the American Statistical Association in 2005, and fellow of the International Society for Computational Biology in 2022.