I am a PhD candidate at MSK advised by Wesley Tansey. My research focuses on representation learning and predictive modeling of clinical data from cancer patients. Cancer care routinely generates high-dimensional data on patient physiology and disease, and treatment paradigms rapidly evolve and grow in complexity. I am interested in 1) integrating data across modalities and over time to improve clinical representation, 2) personalizing treatment recommendation and adverse event assessment, and 3) linking clinical history to biological insights derived from patient samples.

Previously, I studied Biomedical Engineering and Computer Science at Johns Hopkins, where I developed computational methods for spatial transcriptomics with Jean Fan. I also worked on sedation monitoring in the pediatric ICU and rapid PCR diagnostics. I co-founded DioTeX Diagnostics, a startup developing point-of-care molecular diagnostics for internal hemorrhage.