I am an Assistant Attending Physicist in the Service for Predictive Informatics within the Department of Medical Physics at Memorial Sloan Kettering Cancer Center. My work is focused on developing mathematical models to understand cancer development, progression, and metastasis by integrating genomic, epigenomic, and radiomic data. Central to this approach is the recognition that tumors occupy a finite spectrum of functional states, each characterized by distinct treatment sensitivities and metastatic tendencies that evolve over time and in response to therapy. My research centers on two primary objectives: 1) developing innovative mathematical tools to identify cancer phenotype drivers, and 2) precision modeling of cancer evolution and site-specific metastatic dissemination. By leveraging my interdisciplinary training in mathematics and biology, I collaborate closely with experimental biologists and clinicians to ensure that my computational predictions are effectively translated into tangible clinical applications and trials.