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Alexander Gray is the chief technology officer and co-founder of Skytree, Inc., “the Machine Learning Company.” He is also an adjunct associate professor in the School of Computational Science & Engineering at Georgia Tech.
Gray’s research focuses on algorithmic techniques for making machine learning tractable on massive datasets. In 1993, he began working with large-scale scientific data at NASA’s Jet Propulsion Laboratory in its Machine Learning Systems Group. He recently served on the National Academy of Sciences’ Committee on the Analysis of Massive Data.
High-profile applications of Gray’s large-scale machine learning algorithms have been described in both Science and Nature publications, including his large-scale algorithms that helped enable Science’s “Top Breakthrough of 2003.”
Gray has won, or been nominated for, a number of best paper awards in statistics and data mining. He is also a recipient of the National Science Foundation CAREER Award and was named a Kavli Scholar by the National Academy of Sciences.
As a Kavli Scholar and a Simons-Berkeley Research Fellow, Gray is frequently called upon to serve as an advisor or speaker on the topic of big-data machine learning. He has given invited lectures on massive-scale data analysis at premier data analytics research conferences, as well as to government agencies, corporations, and academic institutions.
Gray received B.S. degrees in applied mathematics and computer science from the University of California, Berkeley and a Ph.D. in computer science from Carnegie Mellon University.
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