Abbas Khalili

Academic title(s): 

Associate Professor

Abbas Khalili
Contact Information

Burnside Hall, Room 1235

Email address: 
abbas.khalili [at]
Mathematics and Statistics
Areas of interest: 

         My research focuses on development of statistical methodology in data science: 

  • High-dimensional statistics (supervised and unsupervised learning problems)
  • Post-selection inference
  • Distributed learning in big data problems
  • Theory and applications of latent variable models (Finite mixtures, Mixture-of-experts, Hidden Markov models)
  • Neural Networks: theory and applications in latent variable models
  • Time series modelling
  • Change point analysis
Research areas: 
Associate Professor

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