Seyoon Ko
Assistant Adjunct Professor at UCLA
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolSeyoon Ko is a data scientist-turned-academic at UCLA, serving as Assistant Adjunct Professor in Biostatistics with a joint appointment in Mathematics/Biostatistics and involvement in the Master of Data Science in Health program and QCBio Collaboratory. He brings over a decade of experience, including 6+ years in high-performance statistical computing across cloud (GCP/AWS) and HPC environments. He specializes in Python and Julia, distributed computing, and translating research-grade algorithms into large-scale, deployable systems for statistical genetics and biomedical data science. His training spans a PhD in Statistics (Computational Statistics) from Seoul National University, plus an MS in Computational Science and Technology and a BS in Physics, Mathematical Sciences, and Computational Sciences. Based in Los Angeles, he blends rigorous quantitative methods with practical production-scale software development to advance quantitative biosciences and health data initiatives.
10 years of coding experience
3 years of employment as a software developer
서울대학교 (Seoul National University)
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (121)
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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