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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David Gentile

PhD student (Mathematics)

Research interests: graph theory, optimal transport, molecular dynamics








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Josh Huang

Masters student (Mathematics)

Research interests: optimal transport, molecular dynamics








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Brendan Mallery

PhD student (Mathematics)

Research interests: probability theory, optimization, geometry








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Daniel Peng

Undergraduate researcher (Mathematics and Computer Science)

Research interests: graph theory, geography








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Matt Werenski

PhD student (Computer Science)

Research interests: probability theory, optimal transport









Group Alumni: