Tomer Kaftan is a second-year PhD student at the University of Washington, working with Magdalena Balazinska and Alvin Cheung. His research interests include machine learning systems, distributed systems, and query optimization. Previously, Tomer was a staff engineer in UC Berkeley’s AMPLab, working on systems for large-scale machine learning. He holds a degree in EECS from UC Berkeley. He is a recipient of an NSF Graduate Research Fellowship.
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