William Casazza
Scientist at Moderna
Vancouver, British Columbia, United States
Summary
👤
Senior🎓
Top SchoolWilliam Casazza is a scientist and bioinformatician with a PhD from UBC and roughly a decade of experience translating complex genomic and epigenomic data into actionable insights, currently applying those skills at Moderna. His expertise spans mQTL/eQTL mapping, polygenic risk scoring, Mendelian randomization, Bayesian colocalization and fine-mapping, and end-to-end statistical programming in R and Python for large-scale genomic studies. He has a strong computational provenance—HPC, WDL/Terra, snakemake, and command-line genomics tools—paired with experimental context from earlier wet-lab and algorithmic work at Carnegie Mellon. Notably, his thesis integrated DNA methylation and gene expression to better interpret GWAS signals, reflecting a rare combination of statistical genetics and molecular-level interpretation. Colleagues value him for bridging rigorous method development with production-ready pipelines in both academic and industry settings.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, 4.0, Doctor of Philosophy - PhD, Bioinformatics, 4.0 at The University of British ColumbiaBachelor of Science (B.S.), Computational Biology, 3.45, Bachelor of Science (B.S.), Computational Biology, 3.45 at Carnegie Mellon University
Stackoverflow
317reputation
21kreached
9answers
0questions
Github Skills (22)
biodiversity9
sbml9
rna-seq9
biology8
compression6
csv6
valgrind6
dask6
bash6
grep6
python6
dataframe6
rsa6
r6
systems-biology5
Programming languages (5)
Github contributions (5)
wilcas/wilcas.github.io
Mar 2019 - Mar 2026
Public projects and blogspace. Views, thoughts, and errors both grammatical and scientific, are my own
Contributions:15 PRs, 51 pushes, 17 branches in 7 years 1 month
grammaticalthoughtsscientific
wilcas/sex_specific_mQTL
Aug 2022 - Jan 2024
Contributions:2 releases, 13 pushes, 3 tags in 1 year 5 months
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