Laura Monroe
Biography
Laura Monroe (HPC-DES) is a research scientist at Los Alamos National Laboratory. She received her Ph.D. in Mathematics and Computer Science from the University of Illinois at Chicago, where she studied the theory of error-correcting codes.
She worked at NASA Glenn following graduation, and joined LANL in 2000. She was formerly the project leader for the LANL’s Production Visualization project. She now works at LANL’s Ultrascale Systems Research Center in the field of novel computing, in particular probabilistic computing for high-performance applications.
She has received several Defense Program Awards of Excellence and several LANL Distinguished Performance awards, both as team leader and team member, and received an R&D 100 award in 2006 as part of the PixelVizion team. She was named one of the 2019 NM Technology Council Women in Technology awardees.
She has published in the fields of probabilistic computing, resilience, error-correcting codes, combinatorics and visualization, and her interests are in those fields as well as in the mathematical bridge between the computer as physical object and as ideal system.
She worked at NASA Glenn following graduation, and joined LANL in 2000. She was formerly the project leader for the LANL’s Production Visualization project. She now works at LANL’s Ultrascale Systems Research Center in the field of novel computing, in particular probabilistic computing for high-performance applications.
She has received several Defense Program Awards of Excellence and several LANL Distinguished Performance awards, both as team leader and team member, and received an R&D 100 award in 2006 as part of the PixelVizion team. She was named one of the 2019 NM Technology Council Women in Technology awardees.
She has published in the fields of probabilistic computing, resilience, error-correcting codes, combinatorics and visualization, and her interests are in those fields as well as in the mathematical bridge between the computer as physical object and as ideal system.
Presentations
Paper
Recorded
Architectures
Networks
TP
