Animashree Anandkumar

Animashree Anandkumar

Bren Professor
Microsoft and Sloan Fellow
Department of Computing and Mathematical Sciences
California Institute of Technology


Anima Anandkumar's research interests are in the areas of large-scale machine learning, non-convex optimization and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms for machine learning. Tensors are multi-dimensional extensions of matrices and can encode higher order relationships in data. At Amazon Web Services, she is researching the practical aspects of deploying machine learning at scale on the cloud infrastructure.

She is the recipient of several awards such as the Alfred. P. 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 PhD fellowship, and several best paper awards. She received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, an assistant professor at U.C. Irvine between 2010 and 2016, a visiting researcher at Microsoft Research New England in 2012 and 2014, a Principal Scientist at Amazon Web Services since 2016 and a Bren professor at Caltech since 2017.

Full CV

Selected Publications

  • Tensor Decompositions for Learning Latent Variable Models, JMLR 2014. pdf
  • Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods, 2016. arxiv
  • Reinforcement Learning of POMDPs using Spectral Methods, JMLR 2016. pdf
  • The tensor renaissance in data science, The O'Reilly Data Show Podcast, 2015. url

Complete list of publications

Complete list of talks



Media Features

  • Story of Anima Anandkumar, the machine learning guru powering Amazon AI, YourStory, 2017 url
  • Teaching Machines How to Learn: An Interview with Animashree Anandkumar, Caltech, 2017 url

All media stories

For Prospective Students

We are looking for highly motivated and self-driven MS/PhD students with a strong mathematical background in machine learning, probability, statistics, algorithms and graph theory. We are also interested in having post-doctoral researchers with an interest in high-dimensional learning.


Email: anima *
Admin: Jennifer Wofford jwofford *
Please cc Jennifer for appointments.

Department of Computing and Mathematical Sciences
California Institute of Technology
316 Annenberg Hall
1200 E California Blvd. MC 305-16, Pasadena, CA 91125