Justin Cha

Justin Cha is an Associate Computational Biologist II at the Broad Institute of Harvard and MIT, affiliated with the Getz Lab, a world-leading cancer genomics group. His research focuses on computational methods to analyze genomic progression in cancers, particularly head and neck squamous cell carcinoma (HNSCC) and lung cancer. He specializes in reconstructing genomic trajectories from sequencing data to inform treatment and prognosis strategies.

Technical skills include Python, Julia, and Rust for computational biology, alongside expertise in quantitative data analysis, statistics, and genomics. He has contributed to projects on drug resistance mechanisms in leukemia (CLL) and lung cancer mosaicism, leveraging advanced genomic sequencing and bioinformatics tools.

Key contributions include studies on BTK mutation-driven resistance to ibrutinib and venetoclax, as well as identifying early genetic markers in cancers lacking accessible premalignant samples. His work bridges computational innovation with clinical relevance, advancing precision medicine strategies.

Labs/Teams: Active member of the Getz Lab, collaborating with institutions like Harvard Medical School and Dana-Farber Cancer Institute on multi-institutional cancer genomics initiatives.