Wonju Lee is an aspiring electrical and computer engineering student at Princeton with four years of hands-on experience applying ML, power electronics, and embedded systems to real-world problems. At Princeton’s Power Electronics Research Lab he accelerated LSTM and transformer models with NVIDIA collaboration, built physics-informed symbolic regression for magnetic core loss interpretability, and contributed to APEC-presented work. He has practical hardware and systems experience from roles in electric vehicle teams and robotics—designing PCBs, CAN interfaces, thermal-throttling systems, and award-winning autonomous navigation electronics. Complementing technical depth, Wonju has real-world product and field experience from micromobility app development and ecological research, reflecting a strong interest in environmental solutions and global markets. Outside engineering he’s a classical percussionist, competitive soccer player, and F1 fan, traits that signal discipline, teamwork, and a taste for high-performance systems.
4 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at 한국과학기술원(KAIST)
Contributions:1 PR, 121 pushes, 33 branches in 2 years 5 months
optimizationoptimization-toolsmachine-learning
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