Summary
Jaeyoung Cho is a doctoral researcher and software engineer blending deep expertise in medical image computing, machine learning, and computer vision with nine years of practical software experience. He develops and prototypes with tools like MONAI, SimpleITK, PyTorch/PyTorch Lightning, and brings full-stack skills (Python, JavaScript, Node.js, Docker, React) from industry roles at Siemens and Intel to hospital research settings. Currently pursuing a PhD in AI for medical imaging at the University of Bonn after research at Heidelberg University, he focuses on translating advanced algorithms into clinically relevant tools. His background spans academic rigor and product-minded engineering—evident in projects from a generative design platform to human-in-the-loop video mining—so he comfortable moving models from research to deployable systems. With a rare mix of humanities study and formal CS training across institutions in Korea, Norway, and Germany, he approaches problems with both technical depth and human-centered thinking. Outside research he cares about sustainable development, signaling an interest in socially impactful technology.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Artificial intelligence in neuroradiology, Doctor of Philosophy - PhD Artificial intelligence in neuroradiology at Heidelberg University
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Sungkyunkwan University
Master of Science - MS Informatics, Master of Science - MS Informatics at Technical University of Munich
Bachelor's degree Humanities/Humanistic Studies, Bachelor's degree Humanities/Humanistic Studies at University of Oslo
Bootcamp Software Engineering, Bootcamp Software Engineering at Flatiron School
Doctor of Philosophy - PhD Artificial Intelligence in medical imaging, Doctor of Philosophy - PhD Artificial Intelligence in medical imaging at The University of Bonn
Korean, English, Spanish, Norwegian, German