I am an Assistant Professor of Data Sciences and Operations in the University of Southern California. I am a member of the USC Marshall Statistics Group. I graduated from Stanford University with a Statistics PhD in 2013, after defending this thesis. My advisor at Stanford was Iain Johnstone. Prior to that, I studied at Indian Statistical Institute for my Bachelor's and Master's degrees.
Research Interests: My research interests include high-dimensional statistics, empirical Bayes & shrinkage methods, penalized regression and statistical prediction analysis. I am particularly interested in formulating new Bayes and empirical Bayes methods with optimal frequentist properties in estimation and prediction problems. I am also involved in developing novel statistical algorithms for big-data applications in health-care and management sciences. These applications involves two-sample inferences, data-driven segmentations and dynamic predictions which are again compounded with heterogeniety and sparsity issues.
► Methods: Predictive Inference, Empirical Bayes and Shrinkage Methodology, Sparse Estimation, Cross-classified models, Mixed-effects modeling
► Applications: Single-Cell Virology, Inventory Management, Optimal Pricing of digital goods.
Contact: 3670 Trousdale Parkway, Bridge Hall 308, University of Southern california, Los Angeles, CA 90089-0809.