Lan Wang (statistician)
From Wikipedia, the free encyclopedia
Lan Wang is a Chinese and American statistician whose research focuses on high-dimensional statistics, quantile regression, and the application of statistics to personalized medicine and the statistical study of health care costs. She is a professor and department chair of management science in the University of Miami Patti and Allan Herbert Business School, where she holds a Centennial Endowed Chair.[1]
Wang has a 1998 bachelor's degree from Tsinghua University. She completed her Ph.D. in 2003 at the Pennsylvania State University.[2] Her doctoral dissertation, Testing in heteroscedastic ANOVA with large number of levels and in nonparametric ANCOVA, was supervised by Michael Akritas.[3]
She became a professor of statistics at the University of Minnesota before moving to her present position at the University of Miami. She was co-editor-in-chief for the journal Annals of Statistics for the 2022–2024 term.[4]
