Yunhai Luo is a Senior Bioinformatics Software Engineer with nine years of experience building scalable, FAIR genomic data platforms and production-grade pipelines at organizations including Genentech, Invitae, and Stanford. He blends deep wet-lab knowledge (NGS, CRISPR screens, library prep, FACS) with strong software engineering—Python, Go, R/Bioconductor, React, containerization, WDL/Nextflow, and cloud/HPC deployments—enabling end-to-end reproducible workflows across AWS/GCP and on-prem clusters. At Invitae he led adoption of modern workflow managers and regulatory-compliant production data management; at Stanford he helped model complex ENCODE metadata and dockerized pipelines for uniform analyses. He has a PhD in Genetics from Cornell and a track record of peer-reviewed publications and international conference presentations that bridge experimental insight with computational rigor. Notably, he mentors open-source projects and maintains an ETL pipeline for UCSC Xena’s cancer data import, demonstrating a commitment to community resources and interoperable data.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Genetics and Development, Doctor of Philosophy (Ph.D.) Genetics and Development at Cornell University
Bachelor of Science (BS) Biological Science and Biotechnology, Bachelor of Science (BS) Biological Science and Biotechnology at Tsinghua University
Contributions:4 PRs, 45 pushes, 4 branches in 1 year 7 months
analysis-pipelinepipelinehowardicliplab
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Yunhai Luo - Senior Bioinformatics Software Engineer