James M. Robson

The paper demonstrates that community-designed riboregulators outperform canonical designs and identifies structural features that influence translational activation.

The paper presents an automated plasmid assembly pipeline using liquid handling robotics to construct and test RNA sensors efficiently.

Toehold-VISTA designs RNA sensors using machine learning, improving function against SARS-CoV-2 RNA by integrating biophysical modeling and PLS-DA.

The paper introduces SANDSTORM and GARDN, neural networks for predicting RNA function and designing functional RNA molecules, achieving improved performance over traditional methods.