Eric C.
About Eric C.
Eric C. is a Computational Simulations Engineer at Lawrence Livermore National Laboratory, specializing in computational solid mechanics and numerical methods. He has a strong academic background, holding a Ph.D. in Civil Engineering from UC Davis and has contributed to various simulation codes.
Work at Lawrence Livermore National Laboratory
Currently, Eric C. serves as a Computational Simulations Engineer at Lawrence Livermore National Laboratory. He has been in this role since 2022, contributing to the development of advanced numerical methods and physics simulation software tailored for high-performance computing environments. Prior to this position, he worked as a Postdoctoral Researcher at the same laboratory from 2019 to 2022, where he further honed his expertise in computational simulations.
Education and Expertise
Eric C. holds a Doctor of Philosophy (Ph.D.) in Civil Engineering from the University of California, Davis, where he studied from 2014 to 2019. He also earned a Master of Science (M.S.) in Civil Engineering from the University of California, Berkeley, in 2011, and a Bachelor of Science (B.S.) in Civil Engineering from UCLA in 2010. Additionally, he obtained an Associate of Science (A.S.) in Mathematics from Sacramento City College in 2008. His expertise includes computational solid mechanics, computational fracture mechanics, computational contact mechanics, and additive manufacturing.
Previous Experience
Before his current role, Eric C. gained diverse experience in various engineering positions. He worked as a Graduate Student Researcher at UC Davis from 2014 to 2019. He also held an internship as a Multiphysics Modeling and Simulation Intern at Sandia National Laboratories in 2015. Earlier in his career, he was a Mechanical Engineer at Bechtel Marine Propulsion Corporation from 2011 to 2014, focusing on structural methods development.
Contributions to Numerical Methods
Eric C. actively contributes to the development of several computational codes, including Serac, Tribol, and libROM. His work focuses on novel discretization techniques, new methods of numerical integration, and reduced order modeling. He specializes in developing numerical methods that enhance the performance of physics simulations, particularly in high-performance computing contexts.