Rebecca Batorsky is a Senior Data Scientist with a decade of experience applying mathematical and computational methods to biomedical questions, specializing in multi-omics and spatial single-cell integration. Trained as a mathematical biologist with a PhD in Physics, she combines rigorous modeling of viral evolution with hands-on bioinformatics engineering to uncover cellular interactions and disease mechanisms. Her career spans academia and industry, where she built scalable, cloud-native DNA/RNA sequencing pipelines, automated clinical variant prioritization, and led CNV and mitochondrial variant analysis efforts. At Tufts she progresses research technology while advocating open, collaborative science and reproducible software practices. Unusually, her background blends deep theoretical modeling of pathogen-host coevolution with practical production-grade pipeline development and validation.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Physics with focus on computational biology, Doctor of Philosophy (PhD) Physics with focus on computational biology at Tufts University
Bachelor of Science (B.S.) Physics and German, Bachelor of Science (B.S.) Physics and German at Rutgers University
Contributions:90 commits, 2 PRs, 87 pushes in 3 months
sequenceldaworkshopquantilebioinformatics
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