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Jun Liu
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Harvard University

Dr. Liu has been Professor of Statistics at Harvard University since 2000, and is also Honorary Director of Center for Statistical Sciences at Tsinghua University. He received his BS degree in mathematics in 1985 from Peking University and Ph.D. in statistics in 1991 from the University of Chicago. Dr. Liu held Assistant, Associate, and full professor positions at Stanford University from 1994 to 2003. He won the prestigious COPSS Presidents' Award in 2002, the Morningside Gold Medal in Applied Mathematics in 2010, and the ICSA's Pao-Lu Hsu Award in 2016.  He was an elected fellow of IMS (2004), ASA (2005), and ISCB (2022). Dr. Liu and his collaborators introduced the statistical missing data formulation and Gibbs sampling strategies for biological sequence motif analysis in the early 1990s. The resulting algorithms for protein sequence alignments, gene regulation analyses, and genetic studies have been adopted by many researchers as standard computational biology tools. He has also made fundamental contributions to statistical computing and Bayesian modeling. He pioneered sequential Monte Carlo (SMC) methods and invented novel Markov chain Monte Carlo (MCMC) techniques. Dr. Liu has also pioneered novel Bayesian modeling techniques for discovering nonlinear and interactive effects in high-dimensional data and led the developments of theory and methods for sufficient dimension reduction in high-dimensions.

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日期 时间 会场 Session 角色 讲题
2024-07-12 16:00-16:25 A216-217

Invited Session IS071: Statistical Inference for High-Dimensional Data

讲者 Some Recent Results for P-Value Free FDR Controls