Lily  Wang

Lily Wang

  • Professor in Statistics
Dr. Wang's primary areas of research include developing cutting-edge statistical non/semi-parametric methods, statistical (machine) learning of large datasets with complex features, methodologies for functional data and spatiotemporal data, survey sampling, high dimensional data analysis, and the application of statistics to problems in economics, engineering, neuroimaging, official statistics, plant science, geography, environmental studies, and biomedical science.

Contact Info

3218 Snedecor
2438 Osborn Dr
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  • Ph.D., Statistics, Michigan State University, 2007

More Information

Note: From fall 2019 to fall 2020, Dr. Wang is on Intergovernmental Personnel Act (IPA) Assignment in U.S. Securities and Exchange Commission, Washington DC.