My research focuses on human-computer interaction in neurosurgery, specifically developing intelligent tools that enhance surgical precision and improve communication between patients and physicians. I aim to address how artificial intelligence and machine learning can be integrated into neurosurgical workflows to support intraoperative decision-making and to make discussions around diagnosis, treatment options, and recovery more accessible to patients. I leverage machine learning, predictive modeling, and interactive system design to build computational tools for surgical navigation and patient–doctor communication. My work combines AI-driven data analysis with usability testing and design frameworks to ensure that these tools are both clinically effective and patient-centered.