Postdoctoral Appointee at Sandia National Laboratories
Albuquerque, New Mexico, United States
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Summary
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Luis Damiano is a Postdoctoral Appointee at Sandia National Laboratories with nine years of experience applying Bayesian inference, Gaussian processes, and state-space models to scientific optimization and uncertainty quantification. He develops spatio-temporal models and statistical emulators for large-scale Earth system and physics applications, including improving equatorial zonal wind representation for the DOE’s Energy Exascale Earth System Model. With a PhD in Statistics from Iowa State and prior work at Los Alamos on non-stationary log-Gaussian Cox processes, he pairs rigorous theory with practical algorithm development for complex, high-dimensional problems. His background also spans finance and teaching, giving him a rare combination of quantitative modeling, domain breadth, and communication skills. An active researcher, he maintains a project portfolio and resources at luisdamiano.github.io that showcase reproducible scientific software and applied Bayesian workflows.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Iowa State University
Maestría en Estadística Aplicada, Maestría en Estadística Aplicada at Universidad Nacional de Rosario
Licenciatura, Administración de Empresas, Licenciatura, Administración de Empresas at Pontificia Universidad Católica Argentina 'Santa María de los Buenos Aires'
Contributions:10 commits, 1 PR, 6 pushes in 4 months
primercandidatestanmachine-learningreview
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Luis Damiano - Postdoctoral Appointee at Sandia National Laboratories