Brian Yoxall
About Brian Yoxall
Brian Yoxall is a Mechanical Engineer with extensive experience in structural and thermal analysis, sensor development, and vibration control. He has worked at notable institutions including UC Davis, Lockheed Martin, and Lawrence Livermore National Laboratory.
Work at Lawrence Livermore National Laboratory
Brian Yoxall has been employed at Lawrence Livermore National Laboratory as a Mechanical Engineer since 2015. He has contributed to the rapid development and fielding of research and development infrared optical sensor systems. His role involves applying mechanical engineering principles to enhance sensor technology, ensuring that systems meet performance and reliability standards.
Education and Expertise
Brian Yoxall holds a Ph.D. in Mechanical and Aeronautical Engineering from the University of California, Davis, where he studied from 2007 to 2011. He also earned a Master of Engineering and a Bachelor of Science in Engineering from Harvey Mudd College, completing his undergraduate studies from 1998 to 2002 and his master's degree in 2003. His education has equipped him with a strong foundation in mechanical engineering principles, particularly in vibration control and sensor development.
Background
Brian Yoxall's professional background includes significant experience in mechanical engineering roles across various organizations. He worked as a Mechanical and Aerospace Engineer at UC Davis from 2007 to 2011. Prior to this, he served as a Controls Engineer at Lockheed Martin Space Systems Company from 2003 to 2007, where he developed software tools for process automation. He also interned at Pacific Northwest National Laboratory in 2001.
Achievements in Sensor Development
Throughout his career, Brian Yoxall has focused on conducting structural, thermal, resonance, material, and environmental analysis to predict system performance and mitigate risks in sensor development. His specialization in vibration control of complex beam train architectures has contributed to advancements in sensor technology and system reliability.