Kriti Shukla

STARMAP maps protein structural features to regulatory and cellular phenotypes using natural genetic variation across cancer cell lines.

This paper uses AI/ML to annotate genomic variants in breast cancer, identifying new actionable mutations and functional consequences beyond known drivers.

This study introduces an automated pipeline for detecting and quantifying ecDNA in FISH images to analyze drug response mechanisms in cancer cells.

This paper develops a machine learning method using protein structures to predict the functional impacts of genetic variants on transcriptional pathways of Nrf2 and c-MYC.