Young Jeon
Research Fellow at Emory University School of Medicine
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolYoung Jeon is a Research Fellow with nine years of experience at the intersection of deep learning, signal processing, and statistical learning, focused on affordable, reliable AI for healthcare. He has driven practical innovations—reducing inference energy by 90% and quadrupling prediction speed with a differentiable patch selection method—while scaling multi‑organ segmentation to over 100 structures using learnable anatomical priors. His work emphasizes model efficiency and data‑efficiency, producing compact, interpretable architectures (e.g., a 3MB 3D MRI model and data‑sparse histology predictors) that perform robustly with limited training samples. Now based between the National University of Singapore and Emory University School of Medicine, he is also leading time‑series foundation model work for cardiovascular risk prediction from consumer wearables. Combining rigorous PhD training in public health with an engineering background in EEE, he blends clinical relevance with systems-level optimization to move research toward deployable clinical tools.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Nanyang Technological University SingaporePioneer Junior CollegeDoctor of Philosophy - PhD Public Health, Doctor of Philosophy - PhD Public Health at National University of Singapore
Github Skills (32)
mutation8
julia8
python8
deep-learning8
gpu8
machine-learning8
mxnet8
portable8
dataflow7
dep7
neural-network7
scala7
backbone7
golang6
tensorflow6
Programming languages (3)
Github contributions (5)
Youngseok0001/korea-datathon
Jul 2019 - Aug 2019
Contributions:18 commits, 32 pushes, 1 branch in 1 month
Youngseok0001/Intel_benchmark
Jun 2019 - Jul 2019
Contributions:7 commits, 17 pushes, 1 branch in 12 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.