Steven Wopschall, Ph.D., P.E.
About Steven Wopschall, Ph.D., P.E.
Steven Wopschall, Ph.D., P.E., is a Computational Engineer at Lawrence Livermore National Laboratory, specializing in computational physics software applications for additive manufacturing and fluid dynamics. He holds a Ph.D. in Computational Mechanics and has extensive experience in code development using modern Fortran.
Work at Lawrence Livermore National Laboratory
Steven Wopschall has been employed at Lawrence Livermore National Laboratory since 2017 as a Computational Engineer. In this role, he focuses on developing computational physics software applications, particularly in the area of additive manufacturing. He leads agile development teams that are dedicated to multi-physics software and algorithm development. His work involves extensive research and production-level code development, utilizing modern Fortran.
Education and Expertise
Steven Wopschall holds a Bachelor of Science (BS) in Structural Engineering from the University of California, San Diego, which he completed from 2002 to 2006. He furthered his education with a Master of Science (MS) in Structural Engineering at the same institution from 2009 to 2011. He earned his Doctor of Philosophy (PhD) in Computational Mechanics from the University of California, Davis, between 2012 and 2017. His academic background provides a strong foundation for his expertise in computational physics and software development.
Research and Development Experience
Wopschall has extensive experience in research and production-level code development, particularly using modern Fortran. He specializes in developing novel shock capturing methods for fluid dynamics and has expertise in discontinuous Galerkin methods for shock physics. His research contributions focus on enhancing computational methods and applications in various engineering fields.
Leadership in Agile Development Teams
In his current position, Steven Wopschall leads agile development teams that concentrate on multi-physics software and algorithm development. His leadership role involves coordinating efforts among team members to ensure efficient project execution and the successful implementation of advanced computational techniques.