Alan N. Amin

The paper uses GROQ-seq to profile function across a diverse protease library, showing robust activity across sequence divergence.

The paper introduces manufacturing-aware generative models to enable efficient biological sequence design and synthesis at petascale, reducing costs by a trillion-fold.

The paper introduces a black-box algorithm to optimize stochastic DNA synthesis protocols for generating samples from generative sequence models, showing significant improvements in hit rates for protein engineering.

The paper introduces a Bayesian generative model for whole genomes, showing improved predictive performance over parametric models across genomic, transcriptomic, and metagenomic data.