Joong-ho Won
Professor at Seoul National University
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJoong-ho Won is a Professor of Statistics at Seoul National University with over a decade of academic and research experience spanning high-performance statistical computing, optimization (MM and proximal algorithms), machine learning, and image processing. He progressed through faculty ranks from assistant to full professor at SNU after earlier roles at Korea University, the VA Cooperative Studies Program, and a postdoc at Stanford focusing on large-scale biomedical data. His work blends theory and practical algorithm engineering, emphasizing scalable implementations for computationally intensive statistical methods. Known for translating optimization advances into applied tools, he brings deep expertise in algorithm design for imaging and modern ML workflows. Based in Seoul, he pairs a Stanford PhD pedigree with a sustained record of interdisciplinary collaboration between statistics, engineering, and biomedical domains. Colleagues value his pragmatic approach to making sophisticated algorithms run efficiently on real-world data.
10 years of coding experience
11 years of employment as a software developer
B.S, B.S at Seoul National UniversityPh.D, Ph.D at Stanford University
Github Skills (10)
jekyll8
algolia8
jekyll-theme7
github-pages6
algolia-search6
python3
statistics3
data-science2
machine-learning2
algorithms2
Programming languages (3)
Github contributions (5)
won-j/won-j.github.io
Mar 2021 - Feb 2026
Contributions:31 pushes, 1 branch in 4 years 11 months
won-j/M1399_000100-2020spring
Mar 2020 - Jun 2020
Contributions:40 commits, 39 pushes, 1 branch in 3 months
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