Yoonsu Cho
Genomics Data Scientist
Bristol, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolYoonsu Cho is a Genomics Data Scientist with eight years’ experience applying genetic epidemiology and statistical genetics to non-communicable diseases, currently working at Genomics England. He holds a PhD in Public Health (genetic epidemiology) and an MSc in Molecular Biology, and has led GWAS, Mendelian randomization, fine-mapping, PRS and whole-genome sequencing analyses across large, multi-ethnic cohorts. His background spans wet-lab RCT and in vivo/in vitro work through to robust computational pipelines (R, SQL, Linux) and collaborative cohort design, enabling cross-disciplinary translational insights. Yoonsu is particularly focused on population-specific genetic effects and rare-variant impacts by ethnicity, and contributes code and reproducible analysis via his GitHub. Fluent in Korean and English, he blends rigorous academic publishing with practical tool development to accelerate drug-target discovery.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Public Health, Doctor of Philosophy - PhD, Public Health at Korea University
Korean, English
Github Skills (6)
randomization8
r-package5
inline4
devtools3
r3
documentation2
Programming languages (2)
Github contributions (5)
yoonsucho/CAMERA
Apr 2021 - Jun 2022
Mendelian Randomization approach using Cross Ancestral Model
Contributions:121 commits, 10 pushes, 1 comment in 1 year 1 month
approachmendelian-randomizationrandomization
universe77/RadialMR
Apr 2020 - Aug 2020
An R package for fitting and visualising radial inverse variance weighted and radial MR-Egger models.
Contributions:18 pushes in 4 months
r-packageradialmr-eggervariancefitting
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