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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Opemipo Esan

Undergraduate researcher (visiting from Penn State)

Research interests: Anomaly detection, time series signal processing








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Harris Hardiman-Mostow

Undergraduate student

Research interests: Anomaly detection, spectral graph theory








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Harrison Miller

Masters student

Research interests: Optimal transport, signal processing, computational medicine








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Marshall Mueller

Ph.D. student

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








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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

Masters student

Research interests: clustering, hyperspectral imaging









Group Alumni:

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Duc Nguyen

Undergraduate researcher (2019-2020)

First position: Ph.D. student in mathematics at the University of Maryland, College Park