Jaspreet Pannu

This paper evaluates the biosecurity risks of generative genome design models by quantifying evolutionary novelty and design efficiency in bacteriophage sequences generated by Evo 2.

The paper uses language modeling to create a comprehensive representation of protein biology, enabling structure prediction and discovery of high-affinity protein interactions.

A 40B-parameter DNA model trained on 9.3 trillion tokens scores coding and noncoding variants zero-shot, exposes interpretable sequence features, and writes chromosome-scale sequences.