Summary
Heekyung Koh is an Advanced Technologist with nine years of experience specializing in deep learning for medical image generation, segmentation, mesh/voxel processing, and acoustic simulation. Based in Seoul, she applies research-grade techniques (pix2pix, CycleGAN, VAE, U-Net, ResNet) to production-focused projects at Boeing, including automated visual inspection, OCR-based part verification, LLMs grounded in company policy, and real-time assembly tracking. Her background as a student researcher at KIST produced practical systems for image-guided navigation and AI-driven dental and brain treatment planning, reflecting a strong bridge between academic rigor (MS in Brain & Cognitive Engineering) and applied engineering. She shares code and demonstrations publicly on GitHub and YouTube, signaling a commitment to reproducibility and community engagement. Notably, she combines classical simulation skills (acoustics, mesh visualization) with modern generative modeling, enabling end-to-end solutions from physics-based modeling to learned image synthesis.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Brain & Cognitive engineering, 4.31 (GPA: 97.8), Master of Science - MS, Brain & Cognitive engineering, 4.31 (GPA: 97.8) at 고려대학교
Bachelor of Science - BS, Computer Science, 4.1 (GPA: 93.5), Bachelor of Science - BS, Computer Science, 4.1 (GPA: 93.5) at 동덕여자대학교