Summary
Keri Multerer is a data scientist and computational biologist with nine years of experience translating genetics and cancer research into reproducible, production-ready analysis pipelines. Based in Wellington, she has a PhD-focused background in bioinformatics and biomedical sciences and has built scalable workflows for interactive polygenic risk score analyses optimized for HPC environments. Keri blends hands-on coding in Python and R with domain expertise in GWAS, PRS, and statistical genetics, and she mentors students in practical bioinformatics tools and best practices. She enjoys turning messy biological data into actionable visualizations and applications that help researchers and stakeholders make informed decisions. An early career in cancer lab work gives her rare wet-lab perspective that informs more robust computational pipelines.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Environmental Health, Bachelor of Science (B.S.), Environmental Health at University of Washington
Master of Science (M.S.), Genetics, Masters, Master of Science (M.S.), Genetics, Masters at The George Washington University
Doctor of Philosophy - PhD, Biomedical Sciences, Biomathematics, Bioinformatics, and Computational Biology, P, Doctor of Philosophy - PhD, Biomedical Sciences, Biomathematics, Bioinformatics, and Computational Biology, P at Victoria University of Wellington