Richard Pember

Richard Pember

Computational Physicist @ Lawrence Livermore National Laboratory

About Richard Pember

Richard Pember is a computational physicist currently employed at Lawrence Livermore National Laboratory since 2017. He has held various positions in notable organizations, including Director of CFD Development at Altair Engineering and Group Leader at Lawrence Livermore National Laboratory.

Work at Lawrence Livermore National Laboratory

Richard Pember has had a significant tenure at Lawrence Livermore National Laboratory (LLNL). He initially worked there as a Computer Scientist/Mathematical Programmer from 1986 to 1996, contributing for a decade. After a brief period at Lawrence Berkeley National Laboratory, he returned to LLNL as a Group Leader from 1998 to 2007. Since 2017, he has held the position of Computational Physicist, focusing on advanced computational methods and simulations in various scientific domains.

Previous Experience at Altair Engineering

From 2011 to 2017, Richard Pember served as the Director of CFD Development at Altair Engineering. During his six years in this role, he oversaw the development of computational fluid dynamics (CFD) solutions, enhancing the company's capabilities in simulation technology. His leadership contributed to advancements in the field and supported various engineering applications.

Education and Expertise

Richard Pember studied at the University of California, Berkeley, from 1989 to 1992. His education provided a strong foundation in computational physics and mathematical programming. This background has informed his work across multiple research institutions, where he has applied his expertise in computational methods to solve complex scientific problems.

Career at Lawrence Berkeley National Laboratory

Richard Pember worked at Lawrence Berkeley National Laboratory as a Staff Scientist from 1996 to 1998. His two-year tenure involved research and development in computational techniques, contributing to the laboratory's mission of advancing scientific knowledge through innovative technologies.

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