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The CP model is extremely useful for interpretation, as we show with an example in neuroscience.

In particular, she has been spearheading the development and analysis of tensor algorithms.

She is the recipient of several awards such as the Alfred. Sloan Fellowship, Microsoft Faculty Fellowship, Google research award, ARO and AFOSR Young Investigator Awards, NSF Career Award, Early Career Excellence in Research Award at UCI, Best Thesis Award from the ACM Sigmetrics society, IBM Fran Allen Ph D fellowship, and several best paper awards.

She was the winner of an R&D100 award and three best paper prizes at international conferences. Tensor Decomposition: A Mathematical Tool for Data Analysis: Tensors are multiway arrays, and tensor decompositions are powerful tools for data analysis.

These can be encoded into tensors, which are natural extensions of matrices.

Anima Anandkumar is a principal scientist at Amazon Web Services and a Bren professor at Caltech CMS department.

Her research interests are in the areas of large-scale machine learning, non-convex optimization and high-dimensional statistics.

Her research is generally in the area of computational science and data analysis, with specialties in multilinear algebra and tensor decompositions, graph models and algorithms, data mining, optimization, nonlinear solvers, parallel computing and the design of scientific software.