个人简介
Martina Neuman obtained her BA and MA from UCLA and Ph.D. from UC Berkeley, recently in 2018. Her latest work is on the near extremizers of the Gowers-Host-Kra norm inequalities in Euclidean settings. Her background is in Abstract Harmonic Analysis, and her specialization is on the geometry of Brascamp-Lieb data and the rigidity of analytic inequalities. She has a wide range of interests from Harmonic Analysis to Geometric Functional Analysis to Mathematical Data Science. She's currently a Math Postdoc Fellow of NYU Shanghai.
研究领域
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She has a wide range of interests from Harmonic Analysis to Geometric Functional Analysis to Mathematical Data Science. She's currently a Math Postdoc Fellow of NYU Shanghai.
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