Ying Wei

Ying Wei is a statistician and a Professor of Biostatistics in the Columbia University Mailman School of Public Health, working primarily on quantile regression, semiparametric models of longitudinal data, and their applications.[1]

Wei graduated with a B.S. degree in 1998 and a master degree in 2001 from the University of Science and Technology of China. In 2004 Wei earned her Ph.D. in statistic from the University of Illinois at Urbana–Champaign.[1] Her dissertation, Longitudinal Growth Charts Based on Semiparametric Quantile Regression, was completed under the supervision of Xuming He.[2] Since 2004, Wei has been a faculty member of Biostatistics in the Columbia University, and also an affiliated member of the Data Science Institute.[3]

In 2011, Wei received the Noether Young Scholar Award of the American Statistical Association, "for outstanding early contributions to nonparametric statistics."[4] In 2015, Wei was elected as a Fellow of the American Statistical Association.[5] Wei is also an elected member of the International Statistical Institute.[6]

References
  1. Ying Wei, Columbia University Mailman School of Public Health, retrieved 2017-11-19
  2. Ying Wei at the Mathematics Genealogy Project
  3. Ying Mei, Columbia University Data Science Institute, retrieved 2017-11-23
  4. Gottfried E. Noether Awards, American Statistical Association, retrieved 2017-11-19
  5. ASA Fellows list, American Statistical Association, retrieved 2017-11-19
  6. Individual members, International Statistical Institute, retrieved 2017-11-19
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