Kaiming Tao is a software developer with 12 years of hands-on experience building data-driven web applications and tools, currently applying his skills at Stanford to develop and maintain high-impact biomedical databases for SARS-CoV-2 and HIV. He combines backend and frontend expertise—Python, Node.js and web UI development—with scientific data analysis, statistical visualization, and structural biology work using PyMOL. His role uniquely blends reading primary literature, curating and entering complex datasets, and automating analysis pipelines to turn genomic and structural data into publishable figures and accessible web pages. Prior roles in marketing technology and product teams honed his ability to translate cross-functional requirements into deployable solutions and measurable digital programs. Based in Palo Alto, he also runs a personal site and GitHub, and—per his quirky bio—brings a lighthearted curiosity to serious technical problems.
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