Erin N. Gilbertson

This paper demonstrates haplotype editing with CRISPR/Cas9 to target NEFL missense mutations in iPSC-derived motor neurons, showing therapeutic potential and challenges in disrupting mutant allele expression.

This study uses machine learning to assess how 3D genome structure affects height by analyzing GWAS data and predicting variant impacts on chromatin contacts.

The paper uses sequence-based machine learning to predict 3D genome contact maps in bonobos and chimpanzees, identifying divergent folding patterns and variants affecting genome structure.

The paper uses machine learning to infer 3D chromatin contact patterns across diverse human populations and identifies regions with significant 3D divergence not explained by sequence variation.