MIA Primer: Yusuf Roohani, Engineering cell state using artificial intelligence
Yusuf Roohani Associate Director of Machine Learning, Arc Institute
Engineering cell state using artificial intelligence
The ability to engineer cell states—driving cells from one functional identity to another—holds immense promise for regenerative medicine and disease modeling. However, the search space for genetic perturbations and experimental conditions is vast. In this seminar, Yusuf Roohani discusses how artificial intelligence and large-scale foundation models are being leveraged to predict and navigate these complex landscapes. He focuses on the development of deep learning frameworks that can prioritize candidate genes for reprogramming and predict the results of categorical perturbations, effectively enabling the systematic engineering of desired cellular phenotypes.