Mohammad received his MSc in Image Processing & Computer Vision jointly coordinated by the Autonomous University of Madrid (Spain), University of Bordeaux (France), and Pázmány Péter Catholic University (Hungary) under the Erasmus Mundus scholarship program. During his master’s study, he undertook an internship and wrote his thesis at the Laboratoire de traitement de l’information médicale (LaTIM), which is a medical image processing lab under the French National Institute of Health and Medical Research and IMT Atlantique. His master’s thesis was focused on assessing and predicting the therapeutic response from volumetric longitudinal CT scans using deep learning techniques for metastatic colorectal cancer patients. In 2022, Mohammad joined the qurAI Eye Lab as PhD candidate under the supervision of Prof. Clarisa Sánchez. Here, he investigates uncertainty-aware predictive deep learning models for treatment decision-making in neovascular age-related macular degeneration (AMD) patients.