George Stan

This study investigates augmentation strategies to improve protein language model performance by reducing dataset size and enhancing generalization through active learning and generative models.

This study investigates allosteric regulation mechanisms in AAA+ ATPases using katanin and ClpB, revealing similar and specific mechanisms through simulations and machine learning.

The paper uses vessel organoids to study how different FOXF1 variants affect mesoderm and capillary development in humans, showing variant-specific disruptions and potential therapeutic rescue.