Tucker Hartland
About Tucker Hartland
Tucker Hartland is a Computing Student Intern at the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory, where he has worked since 2020. He has a diverse background in teaching and research, with degrees in Physics and Philosophy, and experience in various academic and research institutions.
Work at Lawrence Livermore National Laboratory
Tucker Hartland has been employed as a Computing Student Intern at the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory since 2020. This role has allowed him to engage in various computational projects and contribute to the laboratory's research initiatives in Livermore, California. His internship has spanned four years, providing him with hands-on experience in a high-impact scientific environment.
Education and Expertise
Tucker Hartland pursued his education at multiple institutions. He studied Physics at California State University, Chico, where he earned a Bachelor's degree from 2013 to 2016. He then attended Emory University, obtaining a Doctorate in Philosophy with a focus on Physics from 2016 to 2021. Additionally, he studied at the University of California, Merced, from 2017 to 2022. His academic background supports his research interests in Applied Mathematics and Physics.
Background in Teaching and Tutoring
Tucker Hartland has a background in teaching and tutoring across various educational institutions. He served as a Graduate Teaching Assistant at UC Merced since 2017. Previously, he worked as a Physics Laboratory Instructor at California State University, Chico in 2017 and held tutoring positions at Shasta College and California State University, Chico from 2010 to 2016. His experience includes supervising mathematics tutoring labs and conducting research in symmetries of partial differential equations.
Research Focus and Contributions
Tucker Hartland's research focuses on hierarchical off diagonal low rank matrix representations as preconditioners for Newton systems in partial differential equation constrained optimization. His work aims to advance the understanding of mathematical frameworks applicable in various scientific fields. He has also participated in research at Argonne National Laboratory and has been involved in computational research at California State University, Chico.