Nickolai Volkoff Shoemaker
About Nickolai Volkoff Shoemaker
Nickolai Volkoff Shoemaker is a Mechanical Design Engineer with extensive experience in research and development, particularly in the fields of material modeling and structural analysis. He has worked at Lawrence Livermore National Laboratory since 2010 and previously held a position at Hot Stix Golf from 2007 to 2010.
Work at Lawrence Livermore National Laboratory
Nickolai Volkoff Shoemaker has been employed at Lawrence Livermore National Laboratory as a Mechanical Design Engineer since 2010. His role involves delivering accurate Finite Element Analysis results that inform design decisions on Department of Defense projects, which require Top Secret Clearance. He also performs structural risk assessments for systems subjected to extreme loading conditions, contributing to the laboratory's mission in advanced scientific research and engineering.
Previous Experience at Hot Stix Golf
Prior to his current position, Nickolai Volkoff Shoemaker worked at Hot Stix Golf as the Primary Research and Development Engineer from 2007 to 2010. During his three years there, he validated and implemented material models using experimental data to enhance the accuracy of simulations. He also managed multi-disciplinary teams on projects that focused on carbon fiber composite materials and high-speed impact simulations.
Education and Expertise
Nickolai Volkoff Shoemaker holds a Bachelor of Science (B.S.) in Mechanical Engineering from California Polytechnic State University, San Luis Obispo, which he completed from 2004 to 2008. He furthered his education by obtaining a Master of Science (M.S.) in Mechanical Engineering from the same institution, graduating in 2010. His academic background provides a strong foundation for his expertise in mechanical design and engineering analysis.
Technical Skills and Programming
In his professional career, Nickolai Volkoff Shoemaker has developed technical skills in programming, specifically in Python. He created parallelized programs to handle large data sets and visualize analysis results. This programming capability complements his engineering work, allowing for efficient data management and analysis in complex engineering projects.