Alexander Effland's research interests include mathematical image processing/computer vision (variational methods, PDE-based approaches, machine learning, deep learning), mathematics of deep learning, shape analysis, and discrete Riemannian geometry. These methods are frequently applied to problems in immunology or radiology.