Annie (Peiyong) Qu

 Annie (Peiyong) Qu

Contact Information

116 B Illini Hall
725 S. Wright St.
M/C 374
Champaign, IL 61820
Data Science Founder Professor
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2019 -Data Science Founder Professor, UIUC

2011 - Professor, Department of Statistics, UIUC

2015 - Affiliated Member of Institute for Genomic Biology, UIUC

2008 - 2011Associate Professor, UIUC, Department of Statistics

2004 - 2008Associate Professor, Oregon State University, Department of Statistics

2005 - 2006Visiting Associate Professor (sabbatical leave), Department of Biostatistics, University of Washington

2004 - 2005Visiting Associate Professor,  Department of Biostatistics, MD Anderson Cancer Center, University of Texas

1999 - 2004Assistant Professor, Oregon State University, Department of Statistics

1999Assistant Staff, Cleveland Clinic Foundation, Department of Biostatistics and Epidemiology

Research Interests

  • Machine Learning
  • Medical Imaging
  • Recommender Systems
  • Natural Language Processing
  • Network Data
  • Personalized Medicine
  • Longitudinal/Correlated Data Analysis
  • Missing Data
  • High-dimensional Data
  • Model Selection
  • Nonparametric Models
  • Biostatistics


  • PhD, Statistics, Pennsylvania State University, 1998
  • M.A., Operations Research, University of Montana, 1992
  • B.S., Computational Mathematics, Fudan University, 1990

Distinctions / Awards


  • Principal Investigator: NSF, DMS 1613190, “Group-Specific Individualized Modeling and Recommender Systems for Large-Scale Complex Data.” 2016-2019.
  • Principal Investigator: NSF, DMS1415308, “Collaborative Research: New Statistical Learning and Scalable Computing for Large Unstructured Data.” 2014-2017.
  • Principal Investigator: NSF, DMS1308227, “Personalized classification, moment selection, and time-varying networks for large-scale longitudinal data.” 2013-2016.
  • Principal Investigator: NSF, DMS 0906660, “Model selection and efficient learning for high dimensional clustered data.” 2009-2012.
  • Principal Investigator: NSF, DMS 0348764, “CAREER: Semiparametric and nonparametric models for correlated data.” 2004-2009.
  • Co-Principal Investigator (PI: John Fowler, Botany and Plant Pathology, Oregon State): EPA, “Indicators of fitness in the maize pollen transcriptome: A screen for correlation between gene expression and pollen competitve ability.” 2006-2008.
  • Principal Investigator: NSF, DMS 0103513 “Semiparametric models for correlated data: The quadratic inference function approach.”2001-2004.
  • Co-investigator (P.I.: W.C. Hayes): NIH, “Fall biomechanics and hip fracture risk.” 2002-2003.