MIA: Abhinav Adduri, Multi-Scale Modeling of Cellular Responses to Perturbation with STATE
Abhinav Adduri Machine Learning Research Scientist, Arc Institute
Multi-Scale Modeling of Cellular Responses to Perturbation with STATE
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.