Summary
David Lee is an Assistant Professor of Mechanical and Aerospace Engineering with nine years of experience bridging industry-grade systems engineering and academic research in spacecraft dynamics and control. He earned MS and PhD degrees in aerospace engineering from the University of Michigan after earlier industry roles developing SCADA/DCS middleware and RFID systems, which give him a practical edge in hardware-in-the-loop and embedded controller work. His research focuses on EDL guidance, CubeSat mission design, and attitude determination and control, with particular interest in applying reinforcement learning and nonlinear model predictive control to constrained fleets of cars, drones, and spacecraft. Having led a university space lab and worked on ICESat/GRACE-FO attitude problems, he combines hands-on mission experience with theoretical control tools and point-cloud tracking for extended 3D target estimation. Based in Long Beach, CA, he brings a rare blend of industrial product development and cutting-edge academic research to train engineers for real-world space systems.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering at University of Michigan
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Pusan National University