About

I am a post-doc at Los Alamos National Laboratory in the Center for Nonlinear Studies. My current work focuses on developing interpretable unsupervised machine learning for application in the climate sciences. In particular, I work on the theory of tensor factorizations and explainable large-scale clustering.

My PhD training is in operator algebras and operator theory. My thesis initiated the study of operator algebras modeling the dynamics of Hilbert space frames. These objects could be thought of as a generalization of representations of graph C*-algebras. I am also interested in connections the between single operator theory and machine learning.

This page was last updated 03/01/21.

• ddesantis@lanl.gov