Won-dong Jang
Applied Scientist at Amazon
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolWon-dong Jang is an applied scientist with eight years of experience specializing in computer vision and biomedical imaging, currently based in Redmond and working at Amazon. He holds a PhD in Electrical and Electronics Engineering from Korea University and completed postdoctoral research in computer science at Harvard, where he focused on deep learning approaches to segmentation. At Amazon and previously at Amazon Studios, he has translated academic expertise into production-focused applied research. His work bridges rigorous theory and practical systems, emphasizing robust segmentation models for real-world biomedical and media applications. Notably, his career path reflects a strong academic-to-industry trajectory, combining high-level research rigor with hands-on deployment experience. He brings a persistent curiosity for imaging challenges and a track record of moving complex models from lab prototypes toward production.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Korea UniversityPostdoctoral, Computer Science, Postdoctoral, Computer Science at Harvard University
Korean, English
Github Skills (12)
jekyll6
image-segmentation5
eagle2
abaqus2
classification1
pytorch1
machine-learning1
python1
deep-learning1
vision-transformer1
swig1
neural-network1
Programming languages (1)
Github contributions (5)
wdjang/wdjang.github.io
Apr 2018 - Oct 2021
Contributions:211 commits, 202 pushes in 3 years 6 months
templategithub-pages-templatemmistakesmistakesjekyll
wdjang/BRS-Interactive_segmentation
Apr 2019 - May 2019
Won-Dong Jang and Chang-Su Kim, "Interactive Image Segmentation via Backpropagating Refinement Scheme," CVPR 2019
Contributions:6 commits, 5 pushes, 1 branch in 1 month
image-segmentation
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