Ethan Kulman

LoPhy reconstructs the joint evolution of SNVs and CNAs from longitudinal single-cell data, revealing their roles in AML progression and therapy resistance.

BiGCN improves single-cell RNA-seq imputation by integrating cell similarities and gene co-expression using dual graph convolutional networks, outperforming existing methods in imputation and clustering.

Pairtree reconstructs clone trees from multiple bulk DNA samples to infer cancer evolutionary histories with higher accuracy and scalability.