Daniel J. O’Connell

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.