Dane Z. Hazelbaker

This paper introduces a novel genome engineering method for iPSCs that enables efficient multiplex gene editing and clone selection, improving the precision and speed of iPSC-based therapies.

This paper demonstrates programmable genomic integration in non-human primate liver, achieving curative levels of gene expression in over 50% of liver cells.

The paper introduces IntQuery, a deep learning model that predicts LSI off-target activity genome-wide using data from Cryptic-seq.

The paper develops and validates methods to detect off-target recombination by Large Serine Integrases, finding higher sensitivity than whole genome sequencing.

This study investigates how the 22q11.2 deletion affects gene expression in neural progenitor cells and neurons, linking it to schizophrenia risk through altered presynaptic gene products.

The paper develops a stable, multiplexed CRISPRi/a system in hPSCs using fluorescent piggyBac vectors and inducible dCas9 transgenes to enable precise gene modulation and analysis.