Speaker Profile

Ph.D., Bren Professor, CMS Dept., California Institute of Technology; Director of Machine Learning Research, NVIDIA

Animashree (Anima) Anandkumar research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization. Anima is the recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum’s Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, O’Reilly media, and so on.

Session Abstract – PMWC 2020 Silicon Valley

Session Synopsis: Overcoming data mining and visualization challenges is critical to the success of data science. Converting data to a visual framework such as data clustering allows trend recognition which in turn can help with decision making. This approach to insight generation linked with human experience will be very powerful for all aspects of data sciences.

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