Noah Zimmerman has a background in computer science with training in statistics, immunology and medicine. He completed his doctoral work in Biomedical Informatics at Stanford, where he worked on the development of a blood-based food allergy diagnostic using novel unsupervised statistical learning algorithms. Prior to graduate school, Noah was a member of the founding team of 2 startups in the healthcare/life-science space. In addition to his data scientist duties, he is an instructor at Stanford, teaching a course he co-created in the design school exploring the intersection of science and design. For fun, Noah enjoys snowboarding and hosting a weekly radio show on KZSU Stanford.
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