Wei Lin
Scholar

Wei Lin

Google Scholar ID: DculdNkAAAAJ
Associate Professor of Statistics, Peking University
High-dimensional statisticsStatistical machine learningCompositional data analysis
Citations & Impact
All-time
Citations
718
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Contact
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Representative Publications can be found on the personal homepage under the 'Publications' section.
Research Experience
  • Associate Professor with Tenure, Peking University, 2020–; Assistant Professor, 2014–2020; Postdoctoral Researcher, University of Pennsylvania, 2011–2014.
Education
  • Ph.D., University of Southern California, 2011; M.S., University of Minnesota Duluth, 2007; M.S., Fudan University, 2005; B.S., 2002.
Background
  • Research interests lie in the broad areas of high-dimensional statistics and statistical machine learning, with particular emphasis on compositional data analysis and statistical learning from high-dimensional complex data. Also interested in causal inference, survival analysis, and applications of statistical and machine learning methods to genomics, metagenomics, and environmental science.
Miscellany
  • Quotes: 'The key to growth is the introduction of higher dimensions of consciousness into our awareness.' - Laozi; 'Don't leave inferences to be drawn when evidence can be presented.' - Richard Wright.
Co-authors
0 total
Co-authors: 0 (list not available)