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Chan Zuckerberg Biohub
5th Anniversary

Learn more about our first five years of innovation and discovery, and watch highlights from our scientific symposium, featuring keynotes from NIH Director Francis Collins and others.

Learn More
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Our Work

Technology Platforms

Doesn’t exist?
We’ll build it.

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Access to data and tools expedites solutions and catalyzes innovation. Our technology platform teams proactively identify and develop enabling technologies that advance biomedical research – here at CZ Biohub, at our partner universities, and worldwide through our open-source dissemination.

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PLATFORMS

Data Science Platform

Led by Angela Oliveira Pisco (Quantitative Cell Science) and Joan Wong (Infectious Disease), the Data Science Platform is a team of computer scientists, bioinformaticians, statisticians, and software engineers who develop analytical and bioinformatic tools, imaging tools, and software.

Genomics and Sequencing Platform

Led by Norma Neff, the genomics and sequencing team develops and deploys state-of-the-art protocols in single-cell sequencing, including iSeq, 10X, Oxford Nanopore, and PacBio, to generate high-quality datasets for cell-type identification and functional analyses. The team also develops and optimizes spatial transcriptomic analyses.

Bioengineering Platform

Led by Rafael Gómez-Sjöberg, the bioengineering team designs and builds unique custom instruments that enable novel projects and accelerate the pace of discovery – from rugged, battery-powered portable devices for diagnosing an infectious disease in remote areas, to an automated multichannel protein purification device.

Computational Microscopy Platform

Led by Shalin Mehta, the computational microscopy team builds microscopes with new imaging modalities and develops machine learning and computational approaches to quantitatively analyze and interpret imaging data.

Mass Spectrometry Platform

Led by Josh Elias, the mass spectrometry team develops and deploys tools with higher throughput and greater sensitivity to analyze the metabolome, proteome, and post-translational modifications associated with complex biological samples.