Ameet Talwalkar

This paper introduces L2G, a method that repurposes pre-trained language models for genomics tasks, achieving better performance than specialized models on multiple benchmarks.

This paper introduces a workflow for best practices in interpretable machine learning to enhance knowledge discovery in computational biology.

SCOPE infers population structure in large genomic datasets efficiently and accurately, outperforming existing methods in speed while maintaining comparable accuracy.