Speakers:

Tammy Kolda, Distinguished Member of Technical Staff, Sandia National Laboratories

Tamara Kolda is a Distinguished Member of Technical at Sandia National Laboratories in Livermore, California, where she works on a broad range of problems including network modeling and analysis, multilinear algebra and tensor decompositions, data mining, and cybersecurity. She has also worked in optimization, nonlinear solvers, parallel computing, and the design of scientific software. She has authored numerous software packages, including the well-known Tensor Toolbox for MATLAB. Before joining Sandia, Kolda held the Householder Postdoctoral Fellowship in Scientific Computing at Oak Ridge National Laboratory. She has received several awards including a 2003 Presidential Early Career Award for Scientists and Engineers (PECASE), two best papers awards (ICDM’08 and SDM’13), and Distinguished Member of the Association for Computing Machinery (ACM). She is an elected member of the Society for Industrial and Applied Mathematics (SIAM) Board of Trustees, Section Editor for the Software and High Performance Computing section of the SIAM Journal on Scientific Computing, and Associate Editor for SIAM Journal on Matrix Analysis. She received her Ph.D. in applied mathematics from the University of Maryland at College Park in 1997.

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Doug Eck, Research Scientist, Google

Doug leads Magenta, a Google Brain project working to generate music, video, image and text using deep learning and reinforcement learning. A main goal of Magenta is to better understanding how AI can enable artists and musicians to express themselves in innovative new ways. Before Magenta, Doug led the Google Play Music search and recommendation team. From 2003 to 2010 Doug was faculty at the University of Montreal’s MILA Machine Learning lab, where he worked on expressive music performance and automatic tagging of music audio.

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Xavier Amatriain, VP of Engineering, Quora

Xavier Amatriain is VP of Engineering at Quora, where he leads the team building the best source of knowledge in the Internet. With over 50 publications in different fields, Xavier is best known for his work on Machine Learning in general, and Recommender Systems in particular. Before Quora, he was Research/Engineering Director at Netflix, where he lead the team building the famous Netflix Recommendation algorithms. Previously, Xavier was also Research Scientist at Telefonica Research and Research Director at UCSB. He has also lectured at different universities both in the US and Spain and is frequently invited as a speaker at conferences and companies.

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Ted Willke, Sr. Principal Engineer, Intel

Ted Willke leads a team that researches large-scale machine learning and data mining techniques in Intel Labs. His research interests include parallel and distributed systems, image processing, machine learning, graph analytics, and cognitive neuroscience. Ted is also a co-principal investigator in a multi-year grand challenge project on real-time brain decoding with the Princeton Neuroscience Institute. Previously, he founded an Intel venture focused on graph analytics for data science that is now an Intel-supported open source project. In 2014, he won Intel’s highest award for this effort. In 2015, he was appointed to the Science & Technology Advisory Committee of the US Department of Homeland Security. Ted holds a doctorate in electrical engineering from Columbia University, a master’s from the University of Wisconsin-Madison, and a bachelor’s from the University of Illinois.

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Watch a previous presentation by Ted Willke here »

Anima Anandkumar

Anima Anadkumar, Principal Scientist, Amazon Web Services, Endowed Professor, CalTech

Anima Anandkumar is a principal scientist at Amazon Web Services, and is currently on leave from U.C.Irvine, where she is an associate professor. 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. 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 has been featured in a number of forums such as the Quora ML session, Huffington post, Forbes, O’Reilly media, and so on. 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, and a visiting researcher at Microsoft Research New England in 2012 and 2014.

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