Overview

New statistical models, optimization algorithms, interactive systems, and software for machine learning. Fast and accurate algorithms for convex optimization (clustering, regression, ranking, classification) and discrete optimization (changepoint detection, dynamic programming). The main application domain for the algorithms I develop are in genomic data analysis (DNA copy number, ChIP-seq, etc); other applications include neuroscience, audio, internet, sensors, recommendation and ranking systems.

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