Benjamin Treweek
About Benjamin Treweek
Benjamin Treweek is an R&D Computer Scientist and Computational Physicist at Sandia National Laboratories, specializing in multi-physics simulations and material characterization.
Current Position at Sandia National Laboratories
Benjamin Treweek has been serving as an R&D Computer Scientist and Computational Physicist at Sandia National Laboratories since 2020. Located in Albuquerque, New Mexico, his work involves the development of software for multi-physics simulations with a focus on structural dynamics and solid mechanics. His expertise in gradient-based inverse methods is utilized for material characterization.
Past Appointment at Sandia National Laboratories
Prior to his current role, Benjamin Treweek worked as a Postdoctoral Appointee at Sandia National Laboratories from 2019 to 2020. During his 7-month tenure, he contributed to research and development in computational physics within the Albuquerque, New Mexico Area.
Educational Background
Benjamin Treweek earned his Doctor of Philosophy (PhD) in Mechanical Engineering (Acoustics) from The University of Texas at Austin, where he studied from 2013 to 2019. Earlier, he secured a Bachelor of Science (BS) degree in Physics and Music from the University of Michigan, completing his studies there between 2007 and 2011. His high school education was completed at Thomas Jefferson High School for Science and Technology, from 2003 to 2007.
Professional Experience in Research and Development
Between 2013 and 2019, Benjamin Treweek served as a Graduate Research Assistant at Applied Research Laboratories, The University of Texas at Austin. His work in Austin, Texas, enriched his capabilities in analytical and numerical problem-solving techniques. Before this, he worked at GoodData as a Solutions Architect, ThinkTank Learning, Inc as a Physics and Math Tutor, and University of Michigan as a Physics Grader.
Specialization in Software Development and Acoustic Engineering
Benjamin Treweek’s specialized knowledge in gradient-based inverse methods allows him to characterize materials efficiently. His work merges physics with musical insights, providing a unique perspective on sound and vibration. This blend of skills supports his current and past roles, emphasizing problem-solving through various analytical and numerical techniques.