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Elisabeth (Lissa) Moore
Elisabeth (Lissa) Moore is a machine learning research scientist at Los Alamos National Laboratory in the High Performance Computing Design group and the Ultrascale Systems Research Center. Her work focuses on the development of explainable machine learning methods, and she leads research efforts at the intersection of machine learning and high performance computing problems, including memory fault characterization, environmental sensor monitoring, and anomaly detection across the data center. Lissa’s work prior to joining the HPC Design group at LANL included time at MIT Lincoln Laboratory doing relational learning and social network analysis in the Human Language Technology group, as well as time at LANL’s Center for Nonlinear Studies investigating quantum computing algorithms for machine learning. Her work in graduate school focused on statistical relational learning for computational social science.
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