Amir Dailamy

The paper generates a CRISPRi perturbation cell atlas in human induced pluripotent stem cells, identifies novel regulators of pluripotency and metabolism, and proposes a machine learning framework for predicting perturbation recipes.

The paper identifies a primed endothelial progenitor that requires VEGF/ERK inhibition to differentiate into vein endothelial cells, revealing a two-step process for vein development.

The paper introduces the CM4AI project, which aims to create AI-ready datasets of human cell architecture using multimodal data from cell lines.

The paper develops a method to screen oncogenic genes across multiple lineages using teratomas and identifies drivers of proliferation in specific cell types.