Austin N. Southard-Smith

The paper develops contamination-focused metrics and software to optimize scRNA-seq experiments by reducing ambient contamination through experimental adjustments.

The paper identifies shared and species-specific enteric neuron subtypes in humans and mice using transcriptional profiling and in situ visualization.

The paper develops a translation model to identify integrin signaling in anti-TNF-resistant Crohn’s disease and validates it using single-cell RNA sequencing.

The paper introduces a dual-indexed library design for scRNA-seq to improve sequencing quality and throughput on high-throughput sequencers.