Mark Cho
Aerodynamics Engineer @ Shield AI
About
Engineer passionate about all things that move through air. Focused on low speed aerodynamics with strong interest in understanding complex flow behaviors and improving performance.
United States
Dallas-Fort Worth Metroplex
Information Technology & Services
Computational Fluid Dynamics (CFD), High Performance Computing (HPC), Python (Programming Language), CATIA, Wind Tunnel Testing, NASA Overflow, Git, Star-CCM+, ICEM CFD, MATLAB
Experience

Advanced Concepts Aerodynamics Engineer
Long Beach, CA
- Developed and owned end-to-end CFD workflows, including CAD cleanup, grid generation, solver execution, and post processing with parameterized inputs to automate the work deck for the X-66 Low Speed Aero Program. - Generated overset structured grids and unstructured grids with solver methods ranging from low to high fidelity CFD. - Wind tunnel testing, including post-test processing, corrections, and aerodynamic database buildup. - Developed Python based engineering tools in version-controlled environments, including migration of legacy Fortran/C scripts.

Aerothermal Engineer
Auburn Hills, Michigan, United States
- Developed a transient model-based automation control scheme to predict windshield fogging by adjusting key parameters; incorporated a Support Vector Regression Machine Learning approach on Python to predict and control fogging. - Assisted in various wind tunnel test campaigns

CFD Intern
Champaign, Illinois, United States
- Streamlined workflow and reduced computation time by 40% through the development of MATLAB code for grate geometry configuration comparisons using Darcy-Weisbach and Swamee-Jain equations to accurately capture pressure drop across the grate and turbulence effects post-fan and conducted an internal flow study using STAR-CCM
Mark Cho's Contact Information
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