Susan D. Airhart

The paper develops bioinformatics workflows to analyze genomic data from patient-derived xenografts, addressing challenges like separating mouse and human reads and identifying somatic mutations without paired normal DNA.

This paper develops a probabilistic model integrating sequencing and functional assay data to predict personalized drug combinations for sarcoma patients with exhausted treatment options.