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headshot of Xingye Qiao

Xingye Qiao

Associate Professor; Chair, Data Science TAE; Director of Undergraduate Studies

Mathematical Sciences

Background

My main research interest focuses on statistical machine learning, a rapidly growing area of research. Many techniques in statistical machine learning have become essential in big data analytics. Some of my recent works include novel large-margin based classification methods, the classification stability, the subsampling strategy for massive and high-dimensional data sets, and learning data with special structures.

Education

  • PhD, University of North Carolina at Chapel Hill
  • MS, University of North Carolina at Chapel Hill
  • BS, Fudan University, Shanghai, China

Research Interests

  • Statistics
  • Machine Learning
  • High-dimensional Inference
  • Big Data Analytics
  • Precision Medicine

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