Dongze He is a computational scientist with 8 years of experience at the intersection of wet-lab biology and production-grade computational engineering, currently building end-to-end AWS+Nextflow multi-omics platforms at Altos Labs. He designs efficient algorithms and user-friendly tools in Rust, R, and Python, and has driven impactful open-source work such as the alevin-fry/simpleaf ecosystem for single-cell and multi-omics processing. His research contributions include the first statistical model to resolve splicing-status ambiguity in scRNA-seq and novel causal inference frameworks that revealed aging-related biomarkers across genomic and proteomic layers. Dongze pairs deep domain knowledge in biology and statistics with practical ML and software engineering—evidenced by deployable Nextflow pipelines, RShiny AI-assisted dashboards, and collaborations with global research teams. He brings a track record of turning complex sequencing artifacts into interpretable insights and production tools that accelerate biological discovery.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at Huaqiao University
Master's degree, Systems biology and Bioinformatics, Master's degree, Systems biology and Bioinformatics at Case Western Reserve University School of Medicine
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at University of Maryland
Contributions:97 commits, 29 PRs, 55 pushes in 11 months
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