eyebrow background eyebrow close

Chan Zuckerberg Biohub
5th Anniversary Symposium

Please join us October 4th for a virtual scientific symposium and celebration of CZ Biohub’s first five years of innovation and discovery, featuring keynotes from NIH Director Francis Collins and others.

Register Now
eyebrow badge

Our Work

Technology Platforms

Doesn’t exist?
We’ll build it.

graphic background

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.



Data Science Platform

Led by Jim Karkanias, the data science platform consists of computer scientists, bioinformaticians, statisticians, and software engineers who develop analytical and bioinformatic tools in the general areas of the Cell Atlas, Infectious Disease, imaging, and software engineering.

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. Spatial transcriptomic analyses are being developed and optimized.

Bioengineering Platform

Led by Rafael Gómez-Sjöberg, the bioengineering team builds and automates instruments that enhance the accuracy and throughput of biomedical research labs. Their designs are smarter and cheaper and widely disseminated, as guided by our open-source policies.

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.