Justin S. Dhindsa

This paper develops an in vitro model to study human retinal ganglion cell (RGC) connectivity with specific brain regions, showing that cultured RGCs form region-specific synapses with mouse brain targets.

This paper develops machine learning models to predict neurodevelopmental disorder risk genes using single-cell RNA-seq data and inheritance patterns, achieving high predictive accuracy.

This study uses a cross-species approach to identify gene expression networks linked to Alzheimer's disease pathology and neurodegeneration.

The paper uses single-cell RNA-sequencing in Drosophila to show that tau pathology and aging affect different cell types, with tau primarily impacting excitatory neurons and glia.

This study identifies an axonopathy in the phrenic and hypoglossal nerves of mdx mice, linking it to respiratory failure in Duchenne muscular dystrophy.