About Me

Hello, my name is Jeeho Lee. Welcome to my website!

I received undergraduate degrees in Chemical Engineering and Materials Engineering from the University of Michigan, as well as a Master of Science in Aerospace Engineering with concentrations in fluid mechanics and propulsion from the University of Southern California. I have experience in fluid mechanics (both compressible and incompressible), heat transfer, thermodynamics, rocket engine and nozzle design, and numerical simulations of fluid flow and heat transfer using scripting languages such as MATLAB and Python and software programs such as COMSOL Multiphysics and ANSYS Fluent. Prior to 2023, I had spent 4 years working in the oil & gas industry, primarily in the areas of process engineering and materials engineering (metals and polymers). A quick learner and motivated problem solver, I thrive in environments in which I face unfamiliar challenges that require me to dig deep and research, investigate, and collect knowledge before tackling problems.

An avid traveler, I have visited 28 different countries, sampling their cultures, cuisines, and spectacular natural landscapes. I find that travel is a great way to open myself to diverse, varying viewpoints from unique individuals and peoples all over the world while learning to be self-sufficient in unfamiliar environments.

Here in the United States, I love spending time outdoors, whether it’s hiking, climbing, or skiing. I also dabble in learning new languages and find joy in being a musician!

(last updated 6 August 2023)

Technical Skill Highlights

  • I have used MATLAB for a variety of engineering purposes, including basic matrix manipulation, interpretation of sensor data, and finite element simulation & modeling. Please see Engineering Projects for more information.

  • I am completely self-taught in Python 3, with specific focus on using numpy, pandas, and scikit-learn for numerical simulations, data analysis, and basic machine learning algorithms. As I did not ever learn Python for school or work, I created my own project to test and expand my Python knowledge by deciding to implement lattice Boltzmann methods to simulate von Kármán vortices. This project can be seen in Engineering Projects.

  • I have experience using these software programs for various purposes, ranging from simulating dynamic pressure around a rocket nose cone in the transonic and supersonic regimes, visualizing vortex shedding behavior from cylindrical objects in a gas flow, and basic von Mises stress analysis in materials. Please see Engineering Projects for more information.