Recent Research Interests:
Distributed learning in big data problems
Neural Networks: theory and applications in latent variable models
Main Research Interests:
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
If you are interested in any of the above topics for PhD, MSc, or undergraduate projects, please contact me at my email address.