Yukiko Shimizu
About Yukiko Shimizu
Yukiko Shimizu is a Postdoctoral Appointee at Sandia National Laboratories with extensive experience in aerospace engineering and computational fluid dynamics.
Postdoctoral Appointee at Sandia National Laboratories
Yukiko Shimizu has been serving as a Postdoctoral Appointee at Sandia National Laboratories since 2019. Sandia National Laboratories is located in Livermore, California. In this role, she is likely involved in cutting-edge research and development efforts pertinent to national security, energy, and scientific discovery. Sandia National Laboratories is known for their focus on solving complex problems through engineering and scientific expertise.
Educational Background
Yukiko Shimizu earned her Bachelor of Science (BS) in Aerospace, Aeronautical, and Astronautical Engineering from the Massachusetts Institute of Technology from 2008 to 2012. She then pursued her Master of Science (MS) in the same field at the University of Michigan from 2012 to 2013. Subsequently, she completed her Doctor of Philosophy (Ph.D.) in Aerospace, Aeronautical, and Astronautical Engineering with a specialization in Computational Fluid Dynamics at the University of Michigan from 2014 to 2019.
Research Experience at University of Michigan
Between 2014 and 2019, Yukiko Shimizu worked as a Graduate Student Research Assistant at the University of Michigan in Ann Arbor, MI. During this period, she carried out significant research contributions in the field of aerospace engineering and computational fluid dynamics. Notably, she developed a parametric space–time model reduction technique using PyTorch, which significantly reduced errors in traditional reduced-order models and autoencoders. She also created the windowed space–time least squares Petrov–Galerkin method that greatly enhanced model accuracy for high Reynolds number flow over airfoils.
Previous Internships and Research Roles
Yukiko Shimizu has extensive experience in various research and internship roles. She interned at Boeing in the Aerodynamics & Acoustics division in 2013, General Atomics Aeronautical Systems in 2012, NASA Langley Research Center in 2011, and The Aerospace Corporation in 2010. Additionally, she was an Undergraduate Researcher at MIT in 2011. Each of these positions contributed to her depth of knowledge and expertise in aerospace engineering and computational fluid dynamics.
Technical and Research Contributions
Yukiko Shimizu has made notable technical contributions in the field of computational fluid dynamics and aerospace engineering. Among her achievements, she developed a parametric space–time model reduction technique in PyTorch that reduced the mean squared error by 71%. She also implemented a real-time reduced-order model sensitivity method in Fortran, which lowered the computational cost of sensitivity analyses in combustion processes. Additionally, her creation of the windowed space–time least squares Petrov–Galerkin method demonstrated a remarkable 99% decrease in errors for reduced-order models applied to high Reynolds number airfoil flows.