Aidan T. Riley

This paper introduces a framework for model-informed mRNA design using integrated gradients and an agentic hypothesis engine, achieving improved in vivo expression.

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