BMI PhD student Yusuf Roohani’s work on universal cell embeddings was featured in a New York Times article: "A.I. is learning what it means to be alive." This foundation model for cell biology is able to map any cell from any species or tissue into a unified latent space, eliminating the need for model tuning or label information. The article describes how such efforts are bringing scientists closer to the vision of a virtual cell. Congratulations, Yusuf!

DBDS PhD student Yusuf Roohani’s work on universal cell embeddings was featured in a New York Times article: “A.I. is learning what it means to be alive.” This foundation model for cell biology is able to map any cell from any species or tissue into a unified latent space, eliminating the need for model tuning or label information. The article describes how such efforts are bringing scientists closer to the vision of a virtual cell.
Congratulations, Yusuf!