Dr. Suvrit Sra

Dr. Sra's esearch focuses on mathematics and computation for data science. In particular, he designs, analyzes, and implements algorithms and models for large-scale problems in machine learning, statistics, data analysis, data mining, and scientific computing. My mathematical tools are drawn from: convex optimization, nonlinear programming, statistics, computer science, signal processing, differential geometry, {convex, functional, harmonic, matrix, and numerical} analysis. Sra's work also involves special functions, experimental mathematics, polynomials, noncommutative algebra, metric geometry, quantum information theory, operator inequalities, optimization under uncertainty (robust, stochastic), distributed and parallel computation, economics, time-series analysis, healthcare informatics, and more.