Julia Kaye

This paper uses machine learning to identify cellular signatures in human motor neurons that distinguish TDP-43 ALS subtypes and enable patient stratification.

This study compares the effects of HTT knockout and CAG repeat expansion in cortical neurons, identifying shared and distinct biological pathways involved in HD.

This study identifies opposing roles of p38α phosphorylation and arginine methylation in TDP-43 proteinopathy, showing that phosphorylation promotes aggregation while methylation reduces it.

The paper constructs a PPI network of 100 high-confidence ASD genes, identifies novel interactions, and uses AlphaFold-Multimer to prioritize variants for functional validation in organoids.

The paper develops a deep learning algorithm to predict neurite structure and length in fluorescence imaging, achieving near-human accuracy and efficiency for large datasets.

This paper shows that the TRPV channel OSM-9 is required for sleep-dependent olfactory memory in C. elegans, despite being expressed in sensory neurons not involved in butanone attraction.

The paper performs an integrated multi-omic analysis of iPSC-derived motor neurons from C9ORF72 ALS patients to identify dysregulated pathways and validate them in vivo and in postmortem data.