Haider Inam

The paper develops ALTitude, a machine learning model to predict ALT status from whole genome sequencing data, identifies SMARCAL1 as a therapeutic target in ALT-driven cancers.

The paper characterizes Variants of Uncertain Drug Resistance (VUDRs) using quantitative measurements from clinical exposures to imatinib, identifying resistance levels and ancestry-specific variants.

This study compares deep mutational scanning and CRISPR base editing for variant function annotation, finding strong correlation between base editor data and gold standard DMS results.