John Ouyang
Principal Research Scientist at Duke-NUS Medical School
Singapore
Summary
👤
Senior🎓
Top SchoolJohn Ouyang is a Principal Research Scientist at Duke-NUS Medical School with eight years of experience applying computational chemistry and machine learning to single-cell omics and drug perturbation studies. He combines a PhD in Computational Chemistry and first-class BSc training with hands-on development of new single-cell RNA-seq tools that contributed to high-impact publications (co-first authorships in Nature and Nature Neuroscience). His research track PI role centers on data-driven discovery of transdifferentiation pathways and scalable analysis of high-dimensional biological data. Comfortable bridging wet-lab questions and computational solutions, he has a track record of extracting insight from datasets of 10^5–10^6 points and mentoring junior scientists. Based in Singapore, he brings a chemist’s rigor and a biologist’s passion to algorithmic problems in translational biology.
8 years of coding experience
6 years of employment as a software developer
Student Exchange Program, Student Exchange Program at The University of British ColumbiaDoctor of Philosophy (Ph.D.), Computational Chemistry, Doctor of Philosophy (Ph.D.), Computational Chemistry at National University of Singapore
English, Chinese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (54)
shiny10
htmlwidgets10
kaggle8
classification8
transcriptomics8
data-mining8
parallel8
r8
bioinformatics7
gradient7
machine-learning7
lightgbm7
python7
decision-tree7
high-performance6
Programming languages (5)
Github contributions (5)
SGDDNB/ShinyCell
Oct 2020 - May 2022
Shiny Interactive Web Apps for Single-Cell Data
Contributions:5 releases, 1 review, 25 commits in 1 year 7 months
htmlwidgetsshinyweb-appsshinyappsinteractive-web
SGDDNB/hrpi
May 2020 - Jun 2020
Contributions:5 commits, 29 pushes, 1 branch in 17 days
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