During graduate school, my research focused on developing molecular classifiers to predict immunotherapy response in bladder cancer. Looking ahead, my goal is to build machine learning models that integrate multimodal data—genomics, histopathology, and clinical features—to predict disease risk and treatment response. By bridging computational biology with translational research, I hope to create predictive tools that can be integrated into clinical workflows to improve patient care through data-driven decision-making.