Zhao, Hongyu - Yale University - Biological & Biomedical Sciences

个人简介

Dr. Hongyu Zhao is the Ira V. Hiscock Professor of Biostatistics and Professor of Statistics and Genetics, Chair of the Biostatistics Department and the Co-Director of Graduate Studies of the Inter-Departmental Program in Computational Biology and Bioinformatics at Yale University. He received his B.S. in probability and statistics from Peking University in 1990 and Ph.D. in statistics from the University of California at Berkeley in 1995. His research interests are the applications of statistical methods in molecular biology, genetics, drug developments, and personalized medicine. Some of his recent projects include large scale genome wide studies to identify genetic variants underlying complex diseases (schizophrenia, bipolar, autism, and substance sbuse), biological network modeling and analysis, disease biomarker identification, genome annotations, microbiome analysis and systems biology study of herbal medicine. He has published over 430 articles in statistics, human genetics, bioinformatics, and proteomics, and edited two books on human genetics analysis and statistical genomics. He has trained over 70 doctoral and post-doctoral students, many of whom are holding tenured or tenure-track positions at major universities in the states and overseas. Dr. Zhao is a Co-Editor-Elect of the Journal of the American Statistical Association Theory and Methods, and serves on the editorial boards of several leading statistical and genetics journals. He was the recipient of the Mortimer Spiegelman Award for a top statistician in health statistics under the age of 40 awarded by the American Public Health Association. His research has also been recognized by the Evelyn Fix Memorial Medal and Citation by UC Berkeley, a Basil O'Connor Starter Scholar Award by the March of Dimes Foundation, election to the fellowship of the American Association for the Advancement of Science, the American Statistical Association and the Institute of Mathematical Statistics. PhD University of California at Berkeley (1995) BS Peking University (1990)

研究领域

Genetics; Public Health; Computational Biology; Statistics; Genomics; Herbal Medicine; Proteomics; Biostatistics; Microbiota

近期论文

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GPA: A statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation D. Chung, C. Yang, C. Li, J. Gelernter, H. Zhao (2014) GPA: A statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation. PLOS Genetics, 10: e1004787. On an additive semi-graphoid model for statistical networks with application to pathway analysis B. Li, H. Chun, H. Zhao (2014) On an additive semi-graphoid model for statistical networks with application to pathway analysis. Journal of American Statistical Association, 109: 1188-1204. Guilt by Rewiring: Gene prioritization through network rewiring in genome wide association studies L. Hou, M. Chen, C. K. Zhang, J. Cho, H. Zhao (2014) Guilt by Rewiring: Gene prioritization through network rewiring in genome wide association studies. Human Molecular Genetics, 23: 2780-2790. Improving genetic risk prediction by leveraging pleiotropy C. Li, C. Yang, J. Gelernter, H. Zhao (2014) Improving genetic risk prediction by leveraging pleiotropy. Human Genetics, 133: 639-650. Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping C. Yang, L. Wang, S. Zhang, H. Zhao (2013) Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping. Bioinformatics, 29: 1026-1034. Sparse principal component analysis by choice of norm X. Qi, H. Zhao (2013) Sparse principal component analysis by choice of norm. Journal of Multivariate Analysis, 114: 127-160. Sparse estimation of conditional graphical models with application to gene networks B. Li, H. Chun, H. Zhao (2012) Sparse estimation of conditional graphical models with application to gene networks. Journal of American Statistical Association, 107: 152-167. iFad: an integrative factor analysis model for drug-pathway association inference H. Ma, H. Zhao (2012) iFad: an integrative factor analysis model for drug-pathway association inference. Bioinformatics, 28: 1911-1918. Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data R. Luo, H. Zhao (2011) Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data. Annals of Applied Statistics, 5: 725–745. Incorporating biological pathways via a Markov random field model in genome-wide association studies M. Chen, J. Cho, H. Zhao (2011) Incorporating biological pathways via a Markov random field model in genome-wide association studies. PLoS Genetics, 7: e1001353. Gene regulation network inference with joint sparse Gaussian graphical models H. Chun, X. Zhang, H. Zhao (2015) Gene regulation network inference with joint sparse Gaussian graphical models. Journal of Computational and Graphical Statistics, 24: 954–974. A statistical framework to predict functional non-coding regions in the human genome through integrated analysis of annotation data Q. Lu, Y. Hu, J. Sun, Y. Cheng, K.-H. Cheung, H. Zhao (2015) A statistical framework to predict functional non-coding regions in the human genome through integrated analysis of annotation data. Scientific Reports, 5: 10576. Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS