Research Interests:

• Distributed learning in big data problems

• Neural Networks: theory and applications in latent variable models 

• High-dimensional statistics: 

  • Sparse Regression, Classification, and Sparse Network Analysis

• Post-model selection inference

• Theory and applications of latent variable models: 

  • Finite mixture models

  • Mixture-of-experts 

  • Hidden Markov models 

• Time series modelling 

• Change point analysis