Greyson R. Lewis

The paper uses extremal graph theory to show that mitochondrial networks are likely to have a large connected component due to combinatorial constraints, suggesting this pattern may be a null model rather than requiring specific biological explanation.

The paper introduces Plexus, a self-supervised model for capturing neuronal activity dynamics, and demonstrates its effectiveness in identifying genetic modifiers of neuronal activity in frontotemporal dementia.

This paper introduces an algebraic framework to model mitochondrial dynamics as groupoids and defines a distance metric for comparing mitochondrial structures based on morphological operations.

The paper uses deep mutational scanning to explore how chemical perturbations affect ubiquitin's mutational tolerance, revealing sensitization of most positions except two.