Joo-won Kim
Assistant Professor at Baylor College of Medicine
New York, New York, United States
Summary
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Senior🎓
Top SchoolJoo-won Kim is an applied-mathematics-trained imaging scientist and assistant professor with 11 years of experience translating advanced image analysis methods into biomedical and porous-media applications. Currently at Baylor College of Medicine and previously a postdoc at Mount Sinai's Translational and Molecular Imaging Institute, he develops MRI and diffusion-MRI pipelines for spinal cord, optic nerve, and small-structure segmentation such as the habenula. His PhD work and earlier research at Stony Brook focused on 3-D micro-CT reconstruction, segmentation, and pore-network algorithms, including novel methods to detect intersecting throats in porous media. Comfortable bridging theory and practice, he combines rigorous statistical modeling with reproducible analysis workflows to tackle noisy, high-dimensional imaging data. Based in New York, he brings a rare blend of applied math, algorithm development, and hands-on imaging expertise to translational neuroimaging and material science problems.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at Chung-Ang UniversityDoctor of Philosophy (Ph.D.), Applied Mathematics and Statistics, Doctor of Philosophy (Ph.D.), Applied Mathematics and Statistics at Stony Brook University
Github Skills (18)
converter10
gz10
neuroscience10
jpeg10
segmentation10
nifti10
neuroimaging10
dicom10
mri10
medical-imaging9
shell7
bids5
matlab5
kernel4
preprocessing4
Programming languages (4)
Github contributions (5)
junqianxulab/SC_dMRI
Sep 2016 - Jul 2021
Spinal cord diffusion MRI preprocessing tool
Contributions:3 PRs, 11 pushes, 2 branches in 4 years 11 months
neuroimagingmridiffusiondiffusion-mripreprocessing
junqianxulab/habenula_segmentation
Oct 2015 - Aug 2020
Contributions:2 releases, 13 commits, 1 PR in 4 years 10 months
segmentation
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