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.