Huixia Judy Wang

{{short description|Statistician}}

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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.{{r|profile}}

Education and career

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.{{r|profile}} Her dissertation, Inference on Quantile Regression for Mixed Models with Applications to GeneChip Data, was supervised by Xuming He.{{r|mgp}} She joined the statistics faculty at North Carolina State University in 2006 and moved to George Washington University in 2014.{{r|profile}} From 2018, she has been serving as program director for the Statistics Program at the National Science Foundation.{{r|nsf}}

Recognition

In 2012, the Institute of Mathematical Statistics gave Wang their Tweedie New Researcher Award.{{r|tweedie}} In 2018, Wang was elected as a Fellow of the American Statistical Association{{r|fasa}} and of the Institute of Mathematical Statistics (IMS), "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".{{r|fims}} She has been awarded an IMS Medallion Lectureship in 2022.{{r|medallion}}

References

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{{citation|url=http://www.amstat.org/ASA/Your-Career/Awards/ASA-Fellows-list.aspx|title=ASA Fellows List|publisher=American Statistical Association|accessdate=2018-08-09|archive-url=https://web.archive.org/web/20171201042456/https://www.amstat.org/ASA/Your-Career/Awards/ASA-Fellows-list.aspx|archive-date=2017-12-01|url-status=dead}}

{{citation|url=http://bulletin.imstat.org/2018/05/introducing-the-2018-class-of-ims-fellows/|title=Introducing the 2018 Class of IMS Fellows|date=May 15, 2018|journal=IMS Bulletin|publisher=Institute of Mathematical Statistics|access-date=2018-08-10 |archive-date=2019-03-30 |archive-url=https://web.archive.org/web/20190330175336/http://bulletin.imstat.org/2018/05/introducing-the-2018-class-of-ims-fellows/|url-status=dead}}

{{citation|url=https://imstat.org/ims-special-lectures/honored-special-lecturers-recipient-list/|title=Honored Special Lecturers Recipient List|publisher=Institute of Mathematical Statistics|access-date=2021-12-01|archive-date=2021-11-23 |archive-url=https://web.archive.org/web/20211123172824/https://imstat.org/ims-special-lectures/honored-special-lecturers-recipient-list/|url-status=dead}}

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{{citation|url=https://www.nsf.gov/staff/staff_bio.jsp|title=Huixia Wang|publisher=National Science Foundation|access-date=2021-12-01|work=Staff Directory}}

{{citation|url=https://statistics.columbian.gwu.edu/huixia-judy-wang|title=Faculty profile|publisher=George Washington University Department of Statistics|accessdate=2018-08-09|archive-date=2018-08-10 |archive-url=https://web.archive.org/web/20180810042357/https://statistics.columbian.gwu.edu/huixia-judy-wang|url-status=dead}}

{{citation|url=http://bulletin.imstat.org/2012/04/2012-tweedie-award-huixia-wang/|title=2012 Tweedie Award: Huixia Wang|date=April 2, 2012|journal=IMS Bulletin|publisher=Institute of Mathematical Statistics|access-date=2018-08-10 |archive-date=2018-08-10 |archive-url=https://web.archive.org/web/20180810072523/http://bulletin.imstat.org/2012/04/2012-tweedie-award-huixia-wang/|url-status=dead}}

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