Binyamin Zuckerman

CONCORD is a self-supervised framework that integrates single-cell datasets across batches, technologies, and species, producing high-resolution cell atlases with improved biological resolution and reduced noise.

The paper establishes an ALS hiPSC model showing axonal downregulation of neuromuscular junction proteins and identifies FUS binding to their mRNAs.

This paper compares scRNA-seq and smFISH for quantifying transcriptional noise, finding that scRNA-seq algorithms generally underestimate noise compared to smFISH.

The paper compares RNA-seq and single-molecule RNA FISH to show that IdU globally amplifies transcriptional noise across most genes.

The paper identifies an RNA element in SARS-CoV-2 that enables cap-independent translation and resistance to host anti-viral responses.