Wyatt Hodges
About Wyatt Hodges
Wyatt Hodges is a Senior Member of Technical Staff at Sandia National Laboratories, specializing in measurement techniques and numerical models for material properties.
Current Position at Sandia National Laboratories
Wyatt Hodges is currently a Senior Member of Technical Staff at Sandia National Laboratories. He has been serving in this role since 2020. His work involves developing advanced measurement techniques and interpreting experimental data using numerical models to map material properties. He covers a wide range of application spaces, including biomedical, electronics, and materials characterization.
Previous Roles at Sandia National Laboratories
Wyatt Hodges previously worked at Sandia National Laboratories as a Postdoctoral Researcher from 2019 to 2020. During this time, he was located in the Albuquerque, New Mexico area. His role involved research and development within his field of expertise.
Academic Role at UC Berkeley
Wyatt Hodges served as a Graduate Research and Teaching Assistant at UC Berkeley from 2013 to 2019. In this role, he was involved in both research and teaching within the Mechanical Engineering department. His work contributed to his Doctor of Philosophy (Ph.D.) in Mechanical Engineering, which he completed at the institution.
Internship at Pacific Northwest National Laboratory
In 2013, Wyatt Hodges worked as a SULI Intern at Pacific Northwest National Laboratory for three months. This internship was in the Richland/Kennewick/Pasco, Washington area and provided him with valuable experience in research and laboratory techniques.
Education at UC Berkeley and Purdue University
Wyatt Hodges obtained his Doctor of Philosophy (Ph.D.) in Mechanical Engineering from the University of California, Berkeley, where he studied from 2013 to 2019. Prior to this, he earned his Bachelor of Science (B.S.) in Mechanical Engineering from Purdue University, studying from 2008 to 2013. His education laid a strong foundation for his extensive expertise in various measurement techniques and experimental data interpretation.