Noah Herrick is a postdoctoral bioinformatics engineer with eight years of experience building scalable, user-friendly genomics workflows that run on local machines, HPC clusters, and cloud platforms. He combines deep expertise in next-generation sequencing, statistical and machine learning methods, and practical pipeline engineering to make high-throughput analyses efficient, reproducible, and accessible to biologists. During his PhD he developed pipelines and deep learning models for forensic DNA phenotyping and biogeographic ancestry prediction, and he has a track record of integrating diverse data types (including emerging CBCT facial data) into genomic studies. Based in Pittsburgh, he thrives at the interface of computational tool-building and biological discovery, translating complex genomics problems into production-ready software that accelerates research.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biology, Doctor of Philosophy - PhD, Biology at Indiana University–Purdue University Indianapolis
Contributions:2 PRs, 155 pushes, 4 branches in 6 months
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