Shaked Bergman

The paper identifies context-dependent factors affecting CRISPR-Cas9 editing efficiency across species using endogenous editing data and shows that repair outcomes are conserved.

The paper introduces a gene fusion strategy using machine learning to improve the evolutionary stability of synthetic gene circuits in yeast.

EXPosition is a computational tool for CRISPR gRNA design that optimizes gene expression effects using deep learning models for transcription, splicing, and translation initiation.