Heather Han is a skilled individual in the field of data science and machine learning. Heather has experience working at various companies such as Atomwise and Zymergen, where Heather has showcased their expertise in creating efficient pipelines, utilizing normalization techniques, and developing machine learning models. With a strong educational background in Computer Science and Molecular and Cellular Biology from The Johns Hopkins University, Heather Han continues to make significant contributions in the realm of computational genomics and data analysis.
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