Sulgi Kim
Scientific Lead at Asteromorph
Seoul Incheon Metropolitan Area South Korea
Summary
👤
Senior🎓
Top SchoolSulgi Kim is a Scientific Lead and seasoned data scientist with a Ph.D. in Biostatistics and over 15 years of experience applying machine learning and statistical methods to healthcare, genomics, and enterprise AI. He has built and led data science teams across industry leaders—from Samsung and NAVER to diagnostic and privacy-AI startups—delivering production systems for experiment optimization, PCR assay design, and genomic analysis. Recent work focuses on privacy-preserving AI, including homomorphic-encryption–enabled LLM retrieval-augmented generation for sensitive healthcare data. His blend of academic rigor (postdoctoral genomics work at the University of Washington) and product-minded engineering enables him to translate complex R&D into deployed solutions and commercial partnerships. Based in the Seoul–Incheon area, he combines domain depth in biostatistics with practical experience in large-scale ML systems and privacy engineering.
10 years of coding experience
9 years of employment as a software developer
M.S. Statistics, M.S. Statistics at Seoul National UniversityPh.D Biostatistics, Ph.D Biostatistics at Case Western Reserve University
English, Korean
Github Skills (24)
data-science10
r10
rstudio10
knitr10
science10
bookdown10
machine-learning9
lme49
mixed-models8
hierarchical-linear-models8
nlme7
random-effects7
linear-models6
covariance6
matching6
Programming languages (3)
Github contributions (5)
sulgik/tidymodels.org
Oct 2021 - Mar 2022
Contributions:101 commits, 89 pushes in 4 months
sulgik/orts
Sep 2019 - Jun 2022
Contributions:7 commits, 16 pushes, 2 branches in 2 years 9 months
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