Summary
Elena Reinisch is a Staff Scientist at Los Alamos National Laboratory with 11 years of experience bridging remote sensing, geophysics, and data science to advance geodetic analysis and environmental monitoring. She is a recognized SAR and InSAR specialist who develops Python and Shell-based processing tools and leads a high-throughput computing workflow for large-scale time-series InSAR. Her research applies machine learning and change-detection across SAR and multispectral imagery to study forest thinning, sea-ice characterization, and anthropogenic or geophysical impacts on surface structure. Trained as a PhD geophysicist from UW–Madison, she pairs rigorous statistical and computational expertise with hands-on domain leadership, routinely consulting on projects and publishing her work. Colleagues rely on her as both a technical lead and implementer who turns complex remote sensing methods into operational, scalable analyses.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Geoscience - Geophysics, Doctor of Philosophy - PhD, Geoscience - Geophysics at University of Wisconsin-Madison
Bachelor of Science (BS), Physics, Mathematics, Bachelor of Science (BS), Physics, Mathematics at Saint Louis University