Daniel Danciu

CRADLE-1 automates protein lead optimization, improving speed and efficiency compared to rational design methods.

The paper develops a scalable indexing framework for biological sequences, enabling efficient and cost-effective full-text search across vast genomic datasets.

ResMiCo improves metagenome assembly quality by accurately identifying misassembled contigs using deep learning, achieving better performance than existing methods.

SECEDO detects subclones in tumors using SNVs from ultra-low coverage single-cell DNA sequencing, achieving high accuracy in synthetic and real datasets.

The paper introduces RowDiff, a method to compactly store graph labels by exploiting annotation similarities, achieving significant space reductions when combined with compression techniques.