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RESEARCH INTERESTS
I am interested in a variety of problems in the mathematical foundations of Data Science, motivated by the need to exploit data to advance scientific discovery and build generalizable, interpretable predictive models. These problems require ideas and techniques from a variety of areas, including Harmonic Analysis, Approximation Theory, Probability and Statistics. Scalable algorithms are a requirement, and I often use multiscale techniques to develop near-linear time algorithms to implement efficiently the estimators developed in theory.
I am interested in a variety of problems in the mathematical foundations of Data Science, motivated by the need to exploit data to advance scientific discovery and build generalizable, interpretable predictive models. These problems require ideas and techniques from a variety of areas, including Harmonic Analysis, Approximation Theory, Probability and Statistics. Scalable algorithms are a requirement, and I often use multiscale techniques to develop near-linear time algorithms to implement efficiently the estimators developed in theory.
研究兴趣
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