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I'm a 5th year PhD student in Intelligent Data Exploration and Analysis Laboratory (IDEAL) at UT Austin. I am very fortunate to be able to learn from and interact with Professors Joydeep Ghosh, and Alex Dimakis. My research is on recovering parsimonious structure in the data, specifically sparsity, and exploiting it for prediction. I am also interested in combinatorial aspects of parsimonious structures, their respective connections to convex optimization, and efficient algorithmic development for inference. In the past I have worked on problems involving predicting buying propensity based on marketing touches, large scale recommendation systems, Ad Click prediction, and ranking.