My research interests lie at the intersection of Machine Learning and Computational Biology

My present goal is to develop a mixture of sparse regression models. We use ideas from Statistics like Sparse Linear Regression, Markov Chain Monte Carlo at the same time borrowing aspects from algorithmic Machine Learning like Dirichlet Processes and Inifinte Multi-dimension Hierarchical Gaussian Mixture Model

My other Research interests

Past Work

Gaussian Process Latent Variable Model

A probabilistic non-linear dimensionality reduction technique

Non negative matrix factorizations

A method for biclustering or co-clustering over different hetrogenous data sets

DP Cluster Wise Regression

Dirichlet Process is a non-parametric approach to density estimation and clustering.

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