Shuli Kang is a seasoned data science leader based in San Diego with two decades of experience in machine learning and biomedical data analysis. She currently serves as Senior Expert, Data Science at Novartis Gene Therapies, where she designs and implements automated end-to-end NGS pipelines for drug product release and develops robust data-analysis toolkits in C# to streamline core tasks. Her career spans impactful roles at Illumina and leading bioinformatics efforts at Scripps, USC, UCSD, and other academic and industry teams, focusing on scalable software, variant interpretation, and high-throughput data processing. Notably, as a USC postdoc she developed CancerLocator, a statistical approach for non-invasive cancer type prediction, with publicly accessible code and a paper published in Genome Biology. She also led C# software product development and AWS serverless migration at Illumina, enabling scalable, compliant analytics for clinical-grade genomics. Based in Southern California, she brings a deep blend of hands-on software engineering, bioinformatics, and regulated environment experience to accelerate discovery and product development.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Wuhan University
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