Christina Del Azodi is a Senior Data Scientist with a decade of experience applying quantitative genetics and machine learning across plant and human systems, currently leading data science work at Bayer. She combines deep domain expertise—from a Ph.D. in Plant Biology and NSF fellowship—to practical bioinformatics engineering, having developed Bioconductor packages and reproducible snakemake pipelines. Christina has notable strengths in single-cell RNA-seq analysis and population-scale single-cell simulation (splatPop), bridging method development with collaborative bench-to-compute projects. She built durable, interpretable ML pipelines in Python used across multiple publications and excels at translating complex genomic datasets into clear visualizations and actionable insights. Based in Chesterfield, Missouri, she pairs rigorous research credentials with hands-on software proficiency in R, Python, and Unix, and a track record of mentoring and outreach that broadens scientific access.
10 years of coding experience
7 years of employment as a software developer
University of Otago
Bachelor of Arts (B.A.), Biochemistry and Molecular Biology, Bachelor of Arts (B.A.), Biochemistry and Molecular Biology at Middlebury College
Doctor of Philosophy (Ph.D.), Plant Biology, Doctor of Philosophy (Ph.D.), Plant Biology at Michigan State University
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