Lily  Wang

Lily Wang

Position
  • Professor of 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, epidemiology, environmental studies, official statistics, and biomedical science.

Contact Info

3218 Snedecor
2438 Osborn Dr
Ames
,
IA
50011-1090

Education

  • Ph.D., Statistics, Michigan State University, 2007

More Information

Dr. Wang is currently serving on the editorial board of Journal of the Royal Statistical Society, Series B (2020-present), Journal of Nonparametric Statistics (2019-present) and Statistical Analysis and Data Mining (2018-present), as well as on the organizing committee of the COPSS-NISS COVID-19 Data Science Webinar Series (2020-2021).