Computational Statistics Research Group

The Computational Statistics Group at the University of Waterloo is a multi-disciplinary group made up faculty from the David R. Cheriton School of Computer Science and the Department of Statistics and Actuarial Science.


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Research Topics

  • Pattern recognition / structure discovery
  • Statistical estimation, inference & prediction
  • Statistical decision making
  • Dimensionality reduction
  • Large model methods
  • Data visualization algorithms and tools
  • Machine learning
  • Clustering

Application Domains

Bioinformatics, databases, data mining, decision analysis, finance, health informatics, intelligent systems, security, etc.

Research Activity (last 5 years)

  • 23 journal and 42 conference papers, including best paper awards at ICASSP-05, COLT-06, ICVS-07
  • 47 invited talks, keynote addresses and tutorials
  • Co-chairs of 2 conferences, co-organizers of 4 workshops and program committee members of more than 15 conferences


Google, UW-Schlegel Research Institute in Aging, University Hospital (London ON), Homewood Research Institute (Guelph), School of Public Health Sciences (U of Toronto), Alberta Ingenuity Centre for Machine Learning