Anjali Silva is a research scientist and data scientist (PhD) with eight years of experience applying computational statistics, multi-omics analysis, and reproducible data science to biomedical and institutional problems. She has driven cross-disciplinary research in oncology as a postdoctoral fellow, built widely used R tooling and Shiny dashboards for library benchmarking, and has deep teaching and mentorship experience lecturing across undergraduate, graduate, and professional programs. Skilled in R, Python, SQL, Tableau and Power BI, she translates complex datasets into actionable insights, dashboards, and peer-reviewed publications. Notably, she co-created the libraryStatistics R package adopted for cross-institutional comparisons and successfully secured national-level postdoctoral fellowships, reflecting both technical rigor and grant-writing acumen.
8 years of coding experience
3 years of employment as a software developer
Honours Bachelor of Science, Honours Bachelor of Science at University of Toronto
Doctor of Philosophy (Ph.D.) Computational Statistics, Doctor of Philosophy (Ph.D.) Computational Statistics at University of Guelph
Teaching Material: Template Illustrating Components of an R package for BCB410H - Applied Bioinformatics (2019-2025), University of Toronto, Canada
Contributions:67 commits, 164 pushes in 1 year 2 months
bioinformaticsrr-packagevisualsshiny-apps
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