Animashree Anandkumar

Animashree Anandkumar

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


Email: anima *
Admin: Sabrina Pirzada
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Computing + Mathematical Sciences
California Institute of Technology
316 Annenberg Hall
1200 E California Blvd. MC 305-16, Pasadena, CA 91125


Anima Anandkumar is a Bren professor at Computing + Mathematical sciences department at Caltech. Anima Anandkumar's research interests span theory and practice of large-scale machine learning. In particular, she has been spearheading the development and analysis of multi-dimensional (tensor) algorithms for machine learning. She is the recipient of several awards such as the Bren endowed chair professorship at Caltech, Alfred. P. Sloan Fellowship, Microsoft Faculty Fellowship, Google research award, ARO and AFOSR Young Investigator Awards, NSF Career Award, 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, and a Principal Scientist at Amazon Web Services between 2016-2018.

Full CV

For Prospective Students and Postdocs

We are looking for highly motivated and self-driven PhD students and postdoctoral candidates with strong foundation in machine learning, statistics, and algorithms. Both theoretical and empirical research is carried out in the group and students who can build bridges between the two, and also between different disciplines will be good fit here. There are also a small number of positions for undergraduate research.

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

Complete list of publications

Media Features

  • Tensor Operations for Machine Learning with Anima Anandkumar, TWiML&AI Podcast, 2018. url
  • 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 and interviews/panels


Technical Talks

Complete list of talks