David Littlewood
About David Littlewood
David Littlewood is a Manager at Sandia National Laboratories, leading the development of the LAMMPS molecular dynamics code and managing a multidisciplinary team to solve complex science and engineering problems.
Current Role at Sandia National Laboratories
David Littlewood has been serving as a Manager at Sandia National Laboratories since 2019. In this role, he is based in Albuquerque, NM and leads a diverse team focused on solving complex science and engineering problems. His responsibilities include managing interdisciplinary projects and advancing computational simulations in the Center for Computing Research.
Previous Positions at Sandia National Laboratories
Before his current managerial role, David held several key positions at Sandia National Laboratories. From 2014 to 2019, he was a Principal Member of the Technical Staff. Prior to that, from 2008 to 2014, he served as a Senior Member of the Technical Staff. These roles allowed him to gain extensive experience in high-performance scientific computing and molecular dynamics.
Academic Background and Early Career
David's academic journey started at the University of Colorado at Boulder, where he earned a BS in Mechanical Engineering from 1991 to 1995. He then completed his MS in Mechanical Engineering from 1997 to 1999 and earned a PhD in the same field by 2001. Following his education, David worked as an Adjunct Faculty at Syracuse University in 2003 and at Rensselaer Polytechnic Institute as a Research Associate/Adjunct Faculty from 2004 to 2008.
Contributions to LAMMPS Molecular Dynamics Code
At Sandia National Laboratories, David leads the development of the LAMMPS molecular dynamics code, a critical tool in computational science. His leadership in this area helps advance research across multiple sectors including national laboratory complexes, industry, and academia.
Collaborations and Expertise
David maintains strong collaborations with various organizations to further the field of computational simulation. His extensive background in high-performance scientific computing positions him as a valuable asset in collaborative projects that span national laboratory complexes, industry, and academic institutions.