Multi-Disciplinary Training Area
Genetics and Data Science [GDS]
BS, Peking University
PhD, Stanford University
High dimensional inference & integrative genomics
I am interested in developing statistical and computational methods to address scientific questions based on data from high throughput biology/genetics experiments. The ultimate goal is to enhance our understanding of cell activities and disease initiation/progression to a system level by integrating information from diverse biological sources (genetics/genomics, proteomics, and phenotypes). Towards this goal, efforts have been made to properly model each individual type of data and to effectively characterize interactions among different biology molecules. These efforts all borrow strength from and contribute to the developments of high dimensional inference, a challenging yet thriving field in modern statistics. For more details about Dr. Wang’s research, visit http://research.mssm.edu/wanglab/
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Dr.Wang did not report having any of the following types of financial relationships with industry during 2018 and/or 2019: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
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