Dohyeon Lee
Doctoral Student at 한국과학기술원(KAIST)
Daejeon, South Korea
Summary
🤩
Rockstar🎓
Top SchoolDohyeon Lee is a doctoral student at KAIST with eight years of experience at the intersection of data science, computational physics, and imaging. Trained in both physics and computer science, he applies scientific rigor to develop data-driven models and imaging algorithms. Based in Daejeon, South Korea, Dohyeon combines experimental insight with computational methods to tackle complex inverse problems and large-scale data analysis. His profile reflects a research-focused practitioner who bridges theoretical modeling and practical implementation, often working on projects that require multidisciplinary coordination. Although primarily academic, he brings production-minded coding practices from years of hands-on development and collaborative research.
8 years of coding experience
Bachelor's degree, Physics & computer science, Bachelor's degree, Physics & computer science at 한국과학기술원(KAIST)
Github Skills (133)
python10
forge10
gpu10
opcodes10
scientific-computing10
science10
julia10
scipy10
algorithms10
visualization10
buffer10
topology10
machine-learning10
group-policy9
julialang9
Programming languages (8)
Github contributions (5)
ehgus/TCFile
Aug 2021 - May 2022
Basic image processing tools of tomocube data
Contributions:2 reviews, 30 commits, 2 PRs in 9 months
image-processingpythonimage
conda-forge/napari-tomocube-data-viewer-feedstock
Aug 2023 - Jan 2025
A conda-smithy repository for napari-tomocube-data-viewer.
Contributions:5 PRs, 5 pushes in 1 year 4 months
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.