Our Work

Technology Platforms

Doesn’t exist? We’ll build it.

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 SF, at our partner universities, and worldwide through our open-source dissemination. We also collaborate closely with the scientific community to support open-source tools that are solving the unique analysis needs of researchers.

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Bioengineering

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.

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Computational Biology

Led by Yasin Şenbabaoğlu, the Computational Biology Platform develops analytical methods and pipelines, bioinformatic software, and imaging software.

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Computational Microscopy

Shalin Mehta‘s Computational Microscopy team builds microscopes with new imaging modalities and develops machine learning and computational approaches to quantitatively analyze and interpret imaging data.

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Genomics

The Genomics team led by Norma Neff 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.

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Mass Spectrometry

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.

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Scientific computing on a supercomputer
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Scientific Compute

The Scientific Compute team led by Rosío Alvarez built and now manages a high-performance computing platform designed for biomedical research. The team has developed bespoke capabilities that include parallel processing techniques for running specialized scientific applications, developing and supporting custom pipelines, enabling large data transfers, processing data generated by scientific instruments, and optimizing storage.

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Software Engineering

The Software Engineering team works on a wide range of software projects, from core internal infrastructure tools, to innovative data visualization methods and novel computer vision models.

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Napari

napari is a community built, Python-based open-source tool designed for browsing, annotating, and analyzing large multi-dimensional images.

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protoSpaceJam

protoSpaceJam is an all-around platform for CRISPR knock-in design at scale.

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shrimPY

shrimPy is a pythonic framework for correlative 3D imaging of physical and molecular properties of cells at high throughput

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