Dr. Wang received her Ph.D. in Statistics from Stanford University in 2004. Between 2004-2013, she served as a faculty in Fred Hutchinson Cancer Research Center and University of Washington, Seattle, WA. In Oct 2013, Dr. Wang joint Icahn Medical School at Mount Sinai as an Associate Professor of Genetics and Genomics. She is also a member of the Icahn Institute for Data Science and Genomic Technology. Dr. Wang’s research work has been focused on developing statistical and computational methods to address scientific questions based on data from high throughput biology/genetics experiments.
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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Below are financial relationships with industry reported by Dr. Wang during 2020 and/or 2021. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
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