Hesam Asadollahzadeh

Tripso, a self-supervised transformer model, identifies gene program-specific embeddings and discovers novel gene programs, revealing biological insights in hematopoietic development and disease.

PerturbGen predicts how genetic perturbations affect cellular trajectories across time in human datasets, showing effects on immune responses, hematopoiesis, and skin development.

CellDISECT improves cell type discovery and counterfactual predictions by disentangling covariates and using synthetic data for training.