My research focuses on integrating bioinformatics, computational biology, and machine learning to investigate the mechanisms underlying cancer initiation and progression. I develop and apply computational methods to analyze multi-omics and biomedical data with the goal of improving cancer diagnosis, prognosis, and therapeutic decision-making. My work aims to bridge data-driven modeling with biological insight to advance precision oncology.