Our group leverages computational approaches on big biomedical data to uncover mechanisms of human pathology, with a current emphasis on neurodegeneration and complex cellular processes. We use deep learning-based architectures alongside probabilistic, statistical, and graph-based methods to interpret these datasets, aiming to unravel critical disease mechanisms and therapeutic targets.