Seulki Park
Postdoctoral Researcher at University of Michigan
Ann Arbor, Michigan, United States
Summary
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Senior🎓
Top SchoolSeulki Park is a postdoctoral researcher in CSE at the University of Michigan with 10 years of experience building robust vision-language and structure-aware models that tackle real-world issues like data imbalance, noisy labels, and missing information. She combines strong academic training from Seoul National University with hands-on industry experience at NAVER and Samsung, publishing at CVPR and translating research into practical systems such as scalable aerial animal recognition and a lightweight multimodal sleep-staging model that outperformed commercial wearables. Her work emphasizes spatial and semantic hierarchies to boost efficiency and generalization, and she has a track record of improving underrepresented-class performance with low-cost augmentations. Open to research and applied scientist roles, she is motivated by deploying AI that remains reliable across imperfect, multimodal datasets and messy real-world taxonomies.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at 서울대학교 (Seoul National University)Bachelor of Arts - BA, Applied Statistics, Bachelor of Arts - BA, Applied Statistics at Yonsei University 연세대학교
Github Skills (43)
imagenet10
stylegan10
optimizer10
image-matching10
mobilenet10
resnet10
visual-recognition10
efficientnet10
regularizer10
image-classification9
pytorch9
clip9
loss9
mixnet8
data-augmentation8
Programming languages (4)
Github contributions (5)
hellbell/ADNet
Jul 2017 - Jan 2019
Contributions:11 commits, 6 pushes, 4 comments in 1 year 6 months
hellbell/KeyPatchGan
Dec 2017 - Jul 2019
Contributions:31 commits, 20 pushes in 1 year 7 months
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