A feared complication of malignant solid tumors is the development of brain metastases (BM), for which current treatments are limited and morbidity is high. While precision medicine approaches for BM have recently demonstrated promise, many patients are not able to benefit from this treatment approach as molecular analysis of BM tissue is not usually feasible. To address this obstacle, Dr. Kim [William G. Kaelin, Jr., MD, Physician-Scientist] will apply genomic profiling and deep learning methods to a rich dataset comprised of BM tissues, patient-matched brain MRIs, and cell-free DNA samples to develop techniques that reveal therapeutic targets within a patient’s BM. He hopes to identify ways to non-invasively characterize oncogenic drivers for a BM or monitor tumor evolution. These findings will demonstrate the potential of using algorithmic tools in the clinic to augment clinical decision-making and unlock opportunities for widespread application of precision medicine for BM.