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

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Jordan Banks

REU student (home institution: Howard University)

Research interests: image processing, anomaly detection








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Kapil Devkota

Ph.D. student (Computer Science)

Research interests: Biological networks, spectral graph theory








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Marshall Mueller

Ph.D. student

Research interests: Optimal transport, signal processing, anomaly detection








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Rachel Stumpf

REU student (home institution: St. Olaf College)

Research interests: image processing, anomaly detection








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Matt Werenski

PhD student (Computer Science)

Research interests: optimal transport, statistical learning









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Nasir Wynruit

REU student (home institution: Tufts University)

Research interests: image processing, anomaly detection









Group Alumni: