Elizabeth Newman

About

Dr. Elizabeth Newman is an Assistant Professor at Tufts University, United States. Her research areas include optimal matrix-mimetic tensor algebras, efficient computation of multiway data representations, and stochastic approximation methods for training deep neural networks. She is also involved in developing fast Hessian computation techniques for composite functions, contributing significantly to advancements in computational mathematics and machine learning.