Tam Le (PhD, 2016)
My current research interests focus on machine learning and statistical methodologies using theories and techniques from Functional Analysis and related mathematical fields. In particular, I have been working on theories and methods involving reproducing kernel Hilbert spaces (RKHS) , Riemannian geometry , Matrix and Operator Theory , Information Geometry , and Optimal Transport , especially in the Infinite-Dimensional setting.
I received my PhD in mathematics from Brown University (Providence, RI, USA) and wrote my dissertation under the supervision of Stephen Smale. Before joining RIKEN, I was a researcher at the Pattern Analysis and Computer Vision group at the Italian Institute of Technology (Istituto Italiano di Tecnologia) in Genoa (Genova), Italy. Prior to Italy, I was a postdoctoral researcher at the University of Vienna, Austria, and the Humboldt University of Berlin, Germany.
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Tam Le (PhD, 2016)