Huixia Judy Wang
Huixia Judy Wang is a statistician who works as a professor of statistics at George Washington University. Topics in her research include quantile regression and the application of biostatistics to cancer.[1]
Wang graduated from Fudan University in 1999 and earned a master's degree from Fudan in 2002. She completed her Ph.D. in statistics in 2006 from the University of Illinois at Urbana–Champaign.[1] Her dissertation, Inference on Quantile Regression for Mixed Models with Applications to GeneChip Data, was supervised by Xuming He.[2] She joined the statistics faculty at North Carolina State University in 2006 and moved to George Washington University in 2014.[1]
In 2012, the Institute of Mathematical Statistics gave Wang their Tweedie New Researcher Award.[3] In 2018, Wang was elected as a Fellow of the American Statistical Association[4] and of the Institute of Mathematical Statistics "for fundamental and influential contributions to the theory and methodology of quantile regression, high dimensional inference and extreme value theory; for outstanding services to the community".[5]
References
- ^ a b c Faculty profile, George Washington University Department of Statistics, retrieved 2018-08-09
- ^ Huixia Judy Wang at the Mathematics Genealogy Project
- ^ "2012 Tweedie Award: Huixia Wang", IMS Bulletin, Institute of Mathematical Statistics, April 2, 2012
- ^ ASA Fellows List, American Statistical Association, archived from the original on 2017-12-01, retrieved 2018-08-09
- ^ "Introducing the 2018 Class of IMS Fellows", IMS Bulletin, Institute of Mathematical Statistics, May 15, 2018
External links
- Huixia Judy Wang publications indexed by Google Scholar
- Living people
- American statisticians
- Chinese statisticians
- Women statisticians
- Fudan University alumni
- University of Illinois at Urbana–Champaign alumni
- North Carolina State University faculty
- George Washington University faculty
- Fellows of the American Statistical Association
- Fellows of the Institute of Mathematical Statistics