In 2014, Amanda Ziemann received a USGIF scholarship as a doctorate student at the Rochester Institute of Technology (RIT). Ziemann attended RIT from 2006 to 2015 where she received a Bachelor of Science in Applied Mathematics, Master of Science in Applied and Computational Mathematics, and a Ph.D. in Imaging Science and Remote Sensing. She was also a graduate research assistant at RIT.
For her master’s thesis, Ziemann developed a tool for automated large-area search in multi-spectral imagery with applications to change detection analysis. Her doctoral research with RIT’s Digital Imaging and Remote Sensing Laboratory focused on developing graph theory and manifold learning-based target detection algorithms for hyperspectral imagery.
Ziemann talked to many potential employers, including Livermore National Labs, MIT, and Lincoln Labs, before deciding to work at Los Alamos National Labs (LANL), and has been working there since graduating from RIT. Ziemann first joined LANL as a post-doctoral research associate. A year later, she became an Agnew National Security Postdoctoral Fellow at LANL. And in 2017, Ziemann became a scientist at LANL, working on a number of projects including Intelligence and Space Research to Space Data Science and Systems.