Sejin Oh
About Sejin Oh
Sejin Oh serves as the Advanced Engineering Analysis Group Leader at Lawrence Livermore National Laboratory, where he leads a multi-disciplinary team in mechanical characterization and model development. He holds a PhD in Structural Mechanics from the University of California, Los Angeles and has extensive experience in engineering analysis and uncertainty quantification.
Work at Lawrence Livermore National Laboratory
Sejin Oh has served as the Advanced Engineering Analysis Group Leader at Lawrence Livermore National Laboratory since 2007. In this role, he leads a multi-disciplinary team focused on mechanical characterization, constitutive model development, and the implementation of methodologies. He is responsible for establishing, negotiating, and executing milestones, deliverables, budgets, and schedules with government sponsors based in Washington, DC. His leadership in engineering analysis contributes to the laboratory's mission of advancing scientific knowledge and technology.
Education and Expertise
Sejin Oh holds a PhD in Structural Mechanics from the University of California, Los Angeles, where he studied from 2003 to 2007. He also earned a Master of Science (MS) in Structural Mechanics from the same institution between 2001 and 2003. His academic background includes a Bachelor of Science (BS) in Civil Engineering, obtained from UCLA from 1997 to 2001. His expertise encompasses the development of constitutive models and the Verification and Validation Uncertainty Quantification (VVUQ) process.
Background
Before joining Lawrence Livermore National Laboratory, Sejin Oh worked as an engineer at Boeing from 2005 to 2007 in Canoga Park, California. His early experience also includes an internship at Sandia National Laboratories in 2003, where he gained practical insights into engineering processes. This diverse background has equipped him with a solid foundation in engineering and analysis.
Achievements in Engineering Analysis
Sejin Oh developed a constitutive model for NIKE3D that incorporates creep, ratchet growth, and cyclic failure in a consistent manner. He investigates and develops the Verification and Validation Uncertainty Quantification (VVUQ) process to enhance the credibility of engineering models and simulations. His role as a subject matter expert in technical reviews and briefings underscores his significant contributions to the field of engineering analysis.