Timothy Daley

The paper identifies compact CRISPR-based activators with durable gene activation, improving upon existing tools in potency and persistence.

This paper improves few-shot learning for protein engineering by combining transfer learning and evolutionary sampling, achieving better hit rates in experimental testing.

This paper introduces scABC, an R package for unsupervised clustering of scATAC-seq data to classify cell types based on open chromatin regions.

This paper introduces ROP to identify the source of unmapped RNA-Seq reads across diverse tissues, showing it can account for 99.9% of 1 trillion reads and reveals immune and microbial correlations.