Andrew Murphy
About Andrew Murphy
Andrew Murphy is a Graduate Technical Intern at Sandia National Laboratories with a background in mechanical engineering and extensive experience in modeling and simulation tools for marine and hydrokinetic energy conversion technologies.
Current Title at Sandia National Laboratories
Andrew Murphy is currently employed as a Graduate Technical Intern at Sandia National Laboratories. His ongoing role includes utilizing advanced computational and simulation tools for various engineering analyses and projects.
Previous Experience at Sandia National Laboratories
Andrew Murphy has had multiple stints at Sandia National Laboratories. Prior to his current role, he worked there as a Graduate Technical Intern from 2013 to 2014, and earlier as a Student Intern from 2010 to 2011. During these periods, he contributed to a range of technical projects, harnessing advanced facilities and computational environments.
Role at Altela, Inc.
Andrew Murphy worked at Altela, Inc. as a Mechanical Engineering Design/Test Engineer from 2012 to 2013. In this role, he focused on designing and testing mechanical systems, ensuring they met required specifications and performed reliably under various conditions.
Team Lead at UNM FSAE
From 2011 to 2012, Andrew Murphy served as the Chassis Team Lead for UNM FSAE. In this leadership position, he was responsible for overseeing the design and implementation of the chassis for the team's Formula SAE competition vehicle.
Educational Background
Andrew Murphy holds a Master’s Degree in Mechanical Engineering from The University of New Mexico, which he obtained from 2013 to 2015. He also earned a Bachelor’s Degree in Mechanical Engineering from the same institution, completing his undergraduate studies from 2008 to 2012. Previously, he attended St. Pius X High School from 2004 to 2008.
Technical Skills and Tools Expertise
Andrew Murphy has developed and deployed modeling and simulation tools for advanced marine and hydrokinetic energy conversion technologies. He is proficient in computational fluid dynamics (CFD) using Star-CCM+ and Fluent for high-fidelity analyses. He is also experienced in dynamic systems modeling with Matlab and has advanced skills in Fortran programming for solving hydrodynamics problems. Additionally, he leverages Sandia's High-Performance Computing and Common Engineering environments to conduct his work.