The Quantitative Cell Science arm of the CZ Biohub’s Data Science team led by Pisco builds tools and datasets that advance our understanding of health and disease. They are actively building single-cell whole-organism cell atlases, including Tabula Muris (mouse) and Tabula Muris Senis, the first whole- organism cell atlas of the aged mouse. In human biology, we recently launched Tabula Sapiens, which leverages conventional single-cell transcriptomics, histology, spatial transcriptomics, mass spectrometry, and machine learning. These datasets are biomolecular gold mines for medical researchers. In parallel, the team has developed new tools for cell-type annotation and biological data mining of single-cell datasets. Pisco’s team is passionate about extracting meaningful information from whole-organism cell atlases and inventing ways of interpreting, visualizing and sharing the data. In line with the CZ Biohub’s mission, they are committed to open science and freely sharing data and code with the community.