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.
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 * caltech.edu
Admin: Jennifer Wofford jwofford * caltech.edu
Please cc Jennifer for appointments.