Mark Cho

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.

Country

United States

City

Dallas-Fort Worth Metroplex

Industry

Information Technology & Services

Skill

Computational Fluid Dynamics (CFD), High Performance Computing (HPC), Python (Programming Language), CATIA, Wind Tunnel Testing, NASA Overflow, Git, Star-CCM+, ICEM CFD, MATLAB

Experience

Shield AI

Aerodynamics Engineer

Shield AI

LinkedIn
2026-5 - Present · 5 mos

Dallas-Fort Worth Metroplex

X-Bat Flight Sciences

Boeing

Advanced Concepts Aerodynamics Engineer

Boeing

LinkedIn
2023-8 - 2026-5 · 2 yrs 10 mos

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.

Stellantis

Aerothermal Engineer

Stellantis

LinkedIn
2023-5 - 2023-8 · 4 mos

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

AGCO Corporation

CFD Intern

AGCO Corporation

LinkedIn
2023-1 - 2023-5 · 5 mos

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

Education

University of Illinois Urbana-Champaign

University of Illinois Urbana-Champaign

LinkedIn

Aerospace Engineering

University of Illinois Urbana-Champaign

University of Illinois Urbana-Champaign

LinkedIn

Aerospace Engineering

Mark Cho's Contact Information

Email

******@***.com

Phone

(**) *** ****

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