Saba Nafees is a Senior Computational Scientist with 10 years of experience applying math, machine learning, and computational biology to decode sequence–phenotype relationships and extract actionable signals from multiomic data. They have built production-grade bioinformatics infrastructure and pipelines for startups and clinical diagnostics, including cell-free mRNA assays and MRD efforts, and led outbreak metagenomics and immune repertoire analyses at Chan Zuckerberg Biohub. Adept at method development, Saba created ortho_seqs and k-mer–based single-cell tools, and pairs statistical rigor with practical cloud-enabled engineering (Nextflow on AWS) to move methods into reproducible workflows. Beyond research, they design and deliver global bioinformatics training, co-host a compbio podcast, and co-founded a collaborative consulting collective that emphasizes pair-consulting and code review. Passionate about startups at the intersection of science, health, and AI, Saba seeks roles that translate foundational models and analytical math into impact on neurodegeneration, cancer, and genetic disease.
9 years of coding experience
13 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at Texas Tech University
This workflow will find unspliced coding sequences from bams.
Contributions:12 PRs, 119 pushes, 8 branches in 3 months
bamssequencefastafastqalignment
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