Anima Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of large-scale machine learning. In particular, she has spearheaded research in unsupervised AI, deep learning, optimization and tensor methods. Previously, she was a principal scientist at Amazon Web Service, where she has enabled machine learning on the cloud infrastructure.

In 2010 Anandkumar joined University of California, Irvine, as an Assistant Professor. At the time, the technology industry was at the beginning of the big data revolution. Here she started working on tensor decompositions of latent variable models. She joined Microsoft Research in New England as a visiting scientist in 2012. In 2013 she was awarded a National Science Foundation CAREER Award to investigate big data and social networks. She was made an Assistant Professor with tenure at UC Irvine in 2016.She specialised in large-scale machine learning and high-dimensional statistics. Anandkumar was a Principal Scientist at Amazon Web Services from 2016 to 2018. She worked with the Apache MXNet tool, introducing new functionality and developing multi-modal processing algorithms. She represented Amazon Web Services at the Anita Borg Institute in 2017, the Mulan forum for Chinese women entrepreneurs and Shaastra in 2018, discussing Deep Learning.She also worked on Amazon Rekognition, Amazon Lex and Amazon Polly. She was involved with the launch of Amazon SageMaker, an opportunity for developers to use machine learning models. Anandkumar joined the Machine Learning Conference Board of Advisors in 2018. In 2018 Anandkumar joined NVIDIA as Director of Machine Learning Research, and Caltech as the Bren Professor of Computing and Mathematical Sciences. At NVIDIA she opened a new core laboratory in artificial intelligence and machine learning in Santa Clara. She has pushed for governments to invest in robotics and artificial intelligence. She spoke at the 2018 TEDxIndiana University about the algorithms she has developed to process big data.

Anima has won several awards which include the 2013 National Science Foundation CAREER Award, 2011 ACM SIGMETRICS Best Paper Award, 2009 ACM SIGMETRICS Best Thesis Award, 2008 IEEE Signal Processing Society Best Paper Award, 2017 Caltech Bren Chair, 2015 Google Research Award, 2015 Air Force Office of Scientific Research Young Investigator Award, 2015 University of California, Irvine Early Career Research Award, 2014 Sloan Research Fellowship, 2013 Microsoft Faculty Fellowship, 2013 Army Research Office Young Investigator Award.