Summary
Adrienne Stilp is a Senior Research Scientist in Seattle with a Ph.D. and 12 years of post-degree experience building software and analytical tools for large-scale genomics and population studies. She combines hands-on development in Python, R, and Django with statistical expertise—having implemented PCA, clustering, and ML methods for genetic variant analysis and authored reusable tools now deployed on NIH cloud platforms. Adrienne has led cross-disciplinary projects including a data harmonization initiative and a MySQL-backed GWAS pipeline that supported dozens of publications, and she supervises and mentors small teams. Notably, she develops open, reusable software (e.g., a Django consortium manager and an R Shiny model explorer) that operationalizes controlled-access data workflows for consortia and cloud platforms.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Astronomy, Doctor of Philosophy (Ph.D.), Astronomy at University of Washington
Bachelor of Science, Physics, Astronomy-Physics, Bachelor of Science, Physics, Astronomy-Physics at University of Wisconsin-Madison