Dylan Copeland
About Dylan Copeland
Dylan Copeland is a Computational Mathematician with extensive experience in research and development within the energy sector and machine learning applications. He has held positions at notable institutions including Lawrence Livermore National Laboratory and Texas A&M University, contributing to advancements in computational techniques and hydraulic fracturing simulation.
Current Role at Lawrence Livermore National Laboratory
Dylan Copeland has been serving as a Computational Mathematician at Lawrence Livermore National Laboratory since 2018. In this role, he focuses on applying advanced computational techniques to solve complex mathematical problems. His work contributes to various research initiatives within the laboratory, particularly in the field of quantitative analysis.
Previous Experience at Lawrence Livermore National Laboratory
Prior to his current position, Dylan Copeland worked at Lawrence Livermore National Laboratory as a Student Intern from 2003 to 2005. During this two-year internship, he gained valuable experience in computational methods and contributed to ongoing research projects.
Research Scientist at Johannes Kepler University
Dylan Copeland served as a Research Scientist at Johannes Kepler University from 2006 to 2008. During his two years in Linz, Austria, he engaged in various research projects that enhanced his expertise in computational mathematics.
Education and Expertise in Mathematics
Dylan Copeland earned his Ph.D. in Mathematics from Texas A&M University, where he studied from 2002 to 2006. His academic background laid the foundation for his career in computational mathematics and deep learning research, focusing on enhancing machine learning applications.
Professional Experience in the Energy Sector
Dylan Copeland has significant experience in the energy sector, having worked at Halliburton as a Senior Technical Professional from 2011 to 2014 and at Global Geophysical Services as a Research Geophysicist from 2014 to 2015. He developed software for hydraulic fracturing simulation, contributing to advancements in energy technologies.