The high-dimensional learning and data analysis (HILDA) research group works on a range of problems in harmonic analysis, machine learning, and data science. Members include:

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Marshall Mueller

Ph.D. student

Research interests: Optimal transport, spectral graph theory, anomaly detection









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Duc Nguyen

Undergraduate student

Research interests: active learning, deep learning, hyperspectral imaging.









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Sam Polk

Ph.D. student

Research interests: harmonic analysis on graphs, clustering, medical signal processing.









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Abiy Tasissa

Norbert Wiener assistant professor

Research interests: signal processing, high-dimensional statistics, graph theory.









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Shukun Zhang

Undergraduate student

Research interests: clustering, hyperspectral imaging