Anima Anandkumar has been a faculty member in the EECS Department at UC Irvine since August 2010. Her 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 a variety of learning problems. She is the recipient of several awards, including 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 best paper awards from the ACM SIGMETRICS and IEEE Signal Processing societies. She has been featured in a number of forums, including O’Reilly media, Quora ML session, Huffington Post, Forbes, Microsoft research connections, and MIT News, among others. She received her BTech 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, and a visiting faculty at Microsoft Research New England in 2012 and 2014.
- Foundations of Machine Learning, Spring 2017. Visiting Scientist.