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]
Education and career
[edit]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]
Recognition
[edit]Wang was elected as a Fellow of the Institute of Mathematical Statistics in 2017, and as a Fellow of the American Statistical Association in 2018.[5] In 2021, she was named as an Elected Member of the International Statistical Institute.[4]
References
[edit]- ^ Endowed Chairs, Miami Herbert Business School, retrieved 2025-10-10
- ^ "Lan Wang", People, University of Miami, retrieved 2025-10-10
- ^ Wang, Lan (2003), Testing in heteroscedastic ANOVA with large number of levels and in nonparametric ANCOVA (Ph.D. thesis), Pennsylvania State University, ProQuest 305307262
- ^ a b ISI Elected Member Lan Wang, Institute of Mathematical Statistics, September 30, 2021, retrieved 2025-10-10
- ^ Curriculum vitae (PDF), University of Miami, August 2019, retrieved 2025-10-10
