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Erik Reed

     I am a Computer Engineering Ph.D student at Carnegie Mellon University. My undergraduate degree was Computational Math at the University of Washington. My research interests are currently machine learning and high performance computing.

     My work at NASA is centered around prognostics and diagnostics of complex aerospace and electrical systems, especially those found in the in the Intelligent Systems division (see HDU, ADAPT). In particular, I work with Bayesian Networks, parameter learning and the EM algorithm, and multivariate clustering.

My academic and personal research interests are described at


Erik B. Reed
NASA Research Park
Building 23
Moffett Field, CA 94035

Phone: (650) 335-2886

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