Md Abu Sufian

My research focuses on addressing the statistical challenges associated with highly structured data from diverse applications, including imaging and wearable technologies. These data are often discrete samples of complex underlying functional processes, which present dependencies that are difficult to model using traditional statistical approaches. My work aims to develop computationally efficient methods that preserve information across all dimensions of these data while ensuring the results are interpretable and actionable. Additionally, I apply advanced statistical and machine learning techniques, such as mixed effects models, gradient boosting, and tree-based methods, to support research in epidemiology, neurology, and oncology.