Song Wu, Assistant Professor, Ph.D., 2008, University of Florida:
Statistics
Song Wu’s research focuses mainly on statistical genetics by
developing new methodologies to unravel the genetics underlying
complex traits. He had received intensive training in both Statistics
and Genetics, and is working towards bridging these two fields. His
specific research areas include QTL mapping, linkage mapping, linkage
disequilibrium mapping, microarray data analysis, genome-wide
association study, next-generation sequencing data analysis (WG-seq,
RNA-seq, ChIP-seq), molecular pathway analysis, bioinformatics and
applied longitudinal data analysis.
http://www.ams.sunysb.edu/~swu/ Office: Math Tower 1-114, Phone: TBA
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Haipeng Xing, Assistant Professor, Ph.D., 2004,Stanford University: Financial Statistics, Change Point Methods
Haipeng Xing is a statistician whose research is focused on: (i) change-points detection, parameter estimation and adaptive control problems and their applications in engineering, economics and genetics; (ii) statistical models and methods in financial econometrics and engineering; and (iii) time series modeling. He is co-author, with T.L. Lai of Stanford, of a major textbook on financial statistics. http://www.ams.sunysb.edu/~xing/ Office: Math Tower 1-102, Phone: 631-632-1892
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Wei Zhu, Professor, Ph.D., 1996, University of California, Los Angeles:
Biostatistics
Wei Zhu is a biostatistician whose diverse research projects include brain image analysis, design and analysis of clinical trials, genetics modeling, environmental statistics, and aviation safety analysis. She is a leader in applying multiple-objective optimal design to clinical trials and quantal dose-response experiments. Zhu’s collaborators include biomedical researchers at the SBM, NYU Medical School, Brookhaven National Lab, NYS Departments of Health and of Environmental Conservation, Merck Research Laboratories, and the Federal Aviation Administration.
http://www.ams.sunysb.edu/~zhu/index.html Office: Math Tower 1-116, Phone: 631-632-8374 |