Wookjin Choi
Associate Professor Of Radiation Oncology
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolWookjin Choi is an associate professor of radiation oncology and computational medical physicist with 11 years of experience applying machine learning and medical image analysis to improve cancer diagnosis and treatment. He leads the Computational Healthcare & Oncology Informatics Lab at Thomas Jefferson University, translating radiomics and interpretable AI research into clinically relevant tools for precision oncology. Trained with a PhD in Mechatronics from GIST and enriched by research roles at Memorial Sloan Kettering and the University of Maryland, he has advanced automated pulmonary nodule detection and early lung cancer radiomics published in top journals. He brings a rare blend of academic rigor, startup experience as a founder, and hands-on teaching in computer science and AI, plus certifications as an NVIDIA DLI Ambassador and IBM AI instructor. Active in professional societies and community leadership—recently elevating KSEA Philadelphia from branch to chapter—he balances technical depth with mentorship and regional science outreach. Fluent in Korean and English, he focuses on building interpretable, deployable AI systems that bridge research and bedside care.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechatronics, Medical Image Analysis, Doctor of Philosophy (Ph.D.), Mechatronics, Medical Image Analysis at Gwangju Institute of Science and TechnologyBachelor’s Degree, Computer Science and Engineering, Bachelor’s Degree, Computer Science and Engineering at Korea University of Technology and Education
English, Korean
Github Skills (25)
python10
feature-extraction10
image-processing10
simpleitk10
segmentation10
pipeline10
dicom10
nrrd10
computer-vision8
medical-imaging8
deep-learning7
3d6
mesh6
pytorch6
convolutional-neural-networks6
Programming languages (6)
Github contributions (5)
taznux/radiomics-tools
Oct 2014 - Jun 2022
Image processing tools for radiomics analysis
Contributions:3 releases, 202 commits, 32 PRs in 7 years 8 months
image-processingdicomradiomicsradiomics-featuresnrrd
taznux/lung-image-analysis
Aug 2016 - Jun 2022
A basic framework for pulmonary nodule detection and characterization in CT
Contributions:39 commits, 10 PRs, 51 pushes in 5 years 10 months
characterizationnodulecomputer-visionpulmonaryctimage
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