Understanding normal hematopoiesis is critical to understanding disease. Technological advances are driving insight into human hematopoiesis at unprecedented resolution. Integrating ‘-omics’ datasets with machine learning has yielded a high-resolution map of primary human bone marrow hematopoietic progenitor cells that supports the study of immune cell development, as well as the origins of disease.