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What do you do with Data Science?

Professor Karbasi’s research addresses the fundamental challenges in large-scale machine learning/signal processing problems and their applications in the sciences. His group research currently focuses on the following directions: 1) development of combinatorial and continuous optimization methods for big data, 2) fundamental studies of the trade-offs between computational resources and statistical risk in the broader context of machine learning and optimization, and 3) development of robust inference algorithms for large-scale public-health and neuroscience applications.

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