Notatki do odcinka
Deanna Needell is a Professor of Mathematics at University of California, Los Angeles (UCLA) and a leading researcher in compressed sensing, numerical linear algebra, data science, and machine learning. Her work has shaped modern sparse recovery and randomized iterative algorithms, and she is widely known for co-developing CoSaMP, a cornerstone method in compressed sensing. More broadly, her research connects linear algebra and optimization with machine learning.
Deanna’s research excellence has been recognized with several honors, including the IMA Prize in Mathematics and its Applications…
Strona: podcasters.spotify.com
