Dana Silverbush, PhD

Assistant Professor, Department of Cancer Biology
Dr. Silverbush is a computational biologist with expertise in multi-omic single-cell analysis, machine learning/AI, and brain cancer (PhD from Tel Aviv University; postdoctoral training at MGH and the Broad Institute). During her training, Dr. Silverbush developed innovative AI- and ML-driven methods integrating multi-omic single-cell profiling to dissect tumor heterogeneity and and plasticity, advancing both biological insight and clinical applications in glioma.
Her laboratory focuses on deciphering the dynamic changes in tumors, infused cells, and endogenous immune cells following immunotherapy, using these insights to design the next generation of therapies. The lab integrates a hybrid structure: a wet lab primarily focused on multi-omic single-cell techniques, and a computational team specializing in data analysis, method development, and ML/AI solutions.
Dr. Silverbush is also affiliated with the Department of Cancer Biology, the Department of Genetics, and the AI2D Center.