Jun Liu is a Chinese American statistician specializing in Bayesian statistical inference, statistical machine learning, and computational biology. He served as an assistant professor of Statistics at Harvard University from 1991 to 1994 and held various positions at Stanford University from 1994 to 2004, including assistant, associate, and full professor. Since 2000, he has been a professor of Statistics at Harvard University, with a courtesy appointment at the Harvard T.H. Chan School of Public Health.

Liu has authored numerous research papers and a book on Markov chain Monte Carlo (MCMC) algorithms, particularly their applications in biology. He co-developed early software tools for biological sequence motif discovery, such as MACAW and Gibbs Motif Sampler, and has contributed to genetic data analysis software like BLADE and HAPLOTYPER. His recent work includes tools for genome structure and gene expression analysis, such as HiCNorm and TIMER.

He was honored as an Institute of Mathematical Statistics Medallion Lecturer in 2002 and a Bernoulli Lecturer in 2004. Liu is a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, and the International Society for Computational Biology.