The CZ Biohub Data Science team develops analytical and bioinformatic tools, imaging tools, and software that enables Biohub’s work across infectious disease and quantitative cell science.

Our Teams

Infectious Disease

Led by Joan Wong, the infectious disease arm of the CZ Biohub data science team collaborates with Biohub researchers on multi-omic data analysis, visualization, and method and tool development with the aim to share all novel methods and tools with the broader scientific community. 

Quantitative Cell Science

Led by Angela Oliveira Pisco, the quantitative cell science arm of the CZ Biohub data science team builds tools and datasets that advance our understanding of health and disease. In line with CZ Biohub’s mission, we are committed to open science and freely sharing data and code with the community.


Our Collaborations and Projects
  • We contributed to Tabula Muris and Tabula Muris Senis, the first whole-organism aging cell atlas. These datasets are bio-molecular gold mines for medical researchers because the mouse is the most-used animal model for the development of new drugs and therapies, and therefore research in this area has a global impact.
  • We’re collaborating with Biohub’s Rapid Response group on outbreak detection and analysis of metabolic pathways in pathogens to predict candidate drug targets in humans.
  • We’re working with Biohub’s Protein Sciences team to develop predictive and analytical methods for antibody repertoire specificity, which will enable the detection of disease states and the eventual development of antibody therapeutics for emerging pathogens. 
  • We’re building tools to automate the design and analysis of high-throughput CRISPR experiments on virus-infected cells and creating computational pipelines and interactive applications for CRISPR knockout screens and cross-screen comparisons.

The Data Science team supports the CZ Biohub’s Tabula projects, which are developing single-cell atlases across a range of species. These rich datasets are providing new insight into evolution, cell physiology, and organismal biology in health and disease.