Alfaj Uddin Ahmed is a Ph.D. student in the Weldon School of Biomedical Engineering at Purdue University, where his research focuses on AI-driven medical image analysis and decision-support systems. Prior to Purdue, Alfaj earned his B.Sc. in Biomedical Engineering from the Bangladesh University of Engineering and Technology (BUET) and gained industry experience as a Software Engineer in Augmedix. His work lies at the intersection of biomedical imaging, deep learning, multimodal data integration, and clinical translation. He has experience developing end-to-end machine learning pipelines for CT, MRI imaging. He is being co-advised by Dr. Christopher Newman. In the lab, Alfaj works on advanced deep learning frameworks for pediatric fracture detection, including diffusion-based data synthesis, few-shot learning, and ranking-based diagnostic models to address data scarcity and class imbalance in clinical imaging. His broader research interests include multimodal learning, generative models, and interpretable AI for biomedical applications.