Seyoon Ko
Assistant Adjunct Professor at UCLA
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolSeyoon Ko is an Assistant Adjunct Professor and data scientist with 10 years of experience and 6+ years focused on high-performance statistical computing for statistical genetics and biomedical data science. He specializes in Python and Julia, building distributed, research-grade algorithms into scalable systems across cloud (GCP/AWS) and HPC environments. At UCLA he holds joint appointments in Mathematics and Biostatistics, teaches in the Master of Data Science in Health program, and serves as a QCBio Collaboratory fellow, bridging academic research and production-ready computational tools. Trained at Seoul National University with a PhD in Statistics and a background in physics and computational science, he blends rigorous theory with practical engineering. Less obvious: he repeatedly moves between deeply mathematical modeling and hands-on systems work, making him adept at optimizing both algorithmic accuracy and runtime performance.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics; Computational Statistics, Doctor of Philosophy (Ph.D.), Statistics; Computational Statistics at 서울대학교 (Seoul National University)
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (114)
python10
categorical10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
imputation10
plink10
numpy10
neural-network10
tensor10
julia10
genome10
vcf-files10
tensorflow10
Programming languages (11)
Github contributions (5)
kose-y/dist_stat
Nov 2019 - Oct 2020
Contributions:91 commits, 52 pushes, 1 branch in 11 months
kose-y/near-circulant-splitting
Jun 2019 - Apr 2020
Contributions:19 commits, 2 pushes in 11 months
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