Summary
Sandi Yen is a bioinformatics scientist based in Oxford with 11 years of experience applying microbiology, biochemistry and computational methods to microbiome research. At the University of Oxford she designs and implements analysis pipelines for 16S rRNA and metabolomics data, combining R, Python and SQL with reproducible tooling like Git. Trained with a PhD in Microbiology and MSc in Biochemistry, she excels at turning complex datasets into biologically meaningful insights and visualizations. Comfortable both as an independent contributor and a collaborative team member, she often programs bespoke bioinformatics tools when existing solutions fall short. A detail-oriented problem-solver, she balances rigorous statistical analysis with practical pipeline development to accelerate translational microbiome projects.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Microbiology, Doctor of Philosophy (Ph.D.), Microbiology at University of Guelph
Bachelor of Science, Honours Biomedical Sciences, Bachelor of Science, Honours Biomedical Sciences at University of Waterloo
English, Chinese