I am a board-certified oncologist with expertise in deep learning (DL)-computer vision and cancer genomics. Our prior work has applied end-to-end DL to data acquired in standard oncologic care (e.g., histopathology [H&E], CT, MRI) to accurately infer tumor genomics and properties of the microenvironment (TME), and to discover new associations with therapeutic outcomes across multiple
tumor types. To build upon this work, our group uses multi-modal DL to repurpose clinical data from large patient populations to identify and dissect new mechanisms underlying therapeutic resistance, which could have transformative impact for drug optimization.
Education
MD, Medical College of Georgia
Select Publications
Brastianos PK*, Kim AE*, Giobbie-Hurder A, Lee EQ, Lin NU, Overmoyer B, et al. Pembrolizumab in brain metastases of diverse histologies: phase 2 trial results. Nature Medicine 29, 1728-1737 (2023). (*denotes equal authorship)
Highlights
Damon Runyon Cancer Research Foundation Physician Scientist Award
American Association of Cancer Research Breast Cancer Research Fellowship
American Brain Tumor Association Basic Research Fellowship
American Society of Clinical Oncology Young Investigator Award
American Society of Clinical Investigation Emerging-Generation Award