Jun Zhu

Jun Zhu is a statistician and entomologist who works as a professor in the Departments of Statistics and Entomology at the University of Wisconsin–Madison.[1] Her research interests involve the analysis of spatial data and spatio-temporal data, and the applications of this analysis in environmental statistics.[2]

This article is about the American statistician. For other uses, see Zhu Jun (disambiguation).

After earning a bachelor's degree from Knox College (Illinois) in mathematics and computer science in 1994, Zhu moved to Johns Hopkins University, where she earned a master's degree in mathematical sciences in 1995. She completed her Ph.D. in statistics at Iowa State University in 2000.[1][2] Her dissertation, Asymptotic Inference for Spatial Cumulative Distribution Function, was jointly supervised by Soumendra Nath Lahiri and Noel Cressie.[3]

Zhu serves on the Human Studies Review Board of the United States Environmental Protection Agency.[4] In 2012 she chaired the American Statistical Association's Section on Statistics and the Environment.[5] In 2015 she was elected as a Fellow of the American Statistical Association,[6] and the Section on Statistics and the Environment gave her their Distinguished Achievement Medal.[7]

References
  1. Biography of Jun Zhu, Office of the Science Advisor, Environmental Protection Agency, retrieved 2018-08-10
  2. Jun Zhu, Professor, Department of Entomology, University of Wisconsin–Madison, retrieved 2018-08-10
  3. Jun Zhu at the Mathematics Genealogy Project
  4. Members of the Human Studies Review Board, Office of the Science Advisor, Environmental Protection Agency, retrieved 2018-08-10
  5. Zhu, Jun (July 1, 2012), "Notes from the Chair", AMSTAT News, American Statistical Association
  6. ASA Fellows List, American Statistical Association, retrieved 2018-08-10
  7. ENVR Awards, ASA Section on Statistics and the Environment, retrieved 2018-08-10
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.