Drew Lewis
About Drew Lewis
Drew Lewis is a Senior Member of Technical Staff at Sandia National Laboratories in Livermore, California, with a background in machine learning performance modeling and static analysis for performance portability libraries.
Current Role at Sandia National Laboratories
Drew Lewis serves as a Senior Member of Technical Staff at Sandia National Laboratories in Livermore, California. He has been in this role since 2019. Sandia National Laboratories is a renowned research and development entity, and Drew contributes to technical projects and initiatives that align with the lab's mission of ensuring national security through science and technology. His responsibilities likely include leading and managing technical projects, conducting research, and collaborating with other experts in the field.
Previous Role as Postdoctoral Researcher
Before becoming a Senior Member of Technical Staff, Drew Lewis worked as a Postdoctoral Researcher at Sandia National Laboratories for one year, from 2018 to 2019. In this position, he would have engaged in advanced research activities, contributing to various projects within the lab, likely under the guidance of senior scientists. This role would have provided him with significant exposure to cutting-edge technologies and research methodologies.
Educational Background
Drew Lewis holds a Doctor of Philosophy (PhD) from Virginia Tech, where he studied from 2012 to 2018. His doctoral research would have involved a deep dive into a specific scientific or technical area, preparing him for advanced roles in research and development. Prior to his PhD, he earned a Bachelor's Degree in Chemistry from The University of Texas at Austin, studying from 2008 to 2012. This solid foundation in chemistry has likely informed his subsequent research and technical endeavors.
Research Intern at Argonne National Laboratory
In 2012, Drew Lewis worked as a Research Intern at Argonne National Laboratory for three months. This position would have provided him with hands-on experience in a high-caliber research facility, allowing him to apply theoretical knowledge to practical problems. Working at such a prestigious institution would have also enabled him to network with leading scientists and researchers in his field.
Contributions to Machine Learning and Software Development
Drew Lewis has completed the initial implementation of a machine learning performance model project within The Structural Simulation Toolkit (SST). Additionally, he developed static analysis passes for the Kokkos C++ performance portability library using clang-tidy. He has also initiated work on a multinode parallel implementation of the Generalized Canonical Polyadic Tensor Decomposition using Kokkos. These contributions highlight his proficiency in machine learning, software development, and performance optimization, particularly within high-performance computing environments.